Triple

T10624462
Position Surface form Disambiguated ID Type / Status
Subject Evergreen Marine E250285 entity
Predicate containerShipPrefix P20540 FINISHED
Object Ever
"Ever" is the naming prefix used by Evergreen Marine Corporation for its fleet of container ships, such as the well-known Ever Given.
E876227 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ever | Statement: [Evergreen Marine, containerShipPrefix, Ever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ever
Context triple: [Evergreen Marine, containerShipPrefix, Ever]
  • A. Never
    Never was the historical name of the Russian town now known as Skovorodino in Amur Oblast.
  • B. Forever
    "Forever" is a hit hip-hop single produced by Boi-1da, best known in its version featuring Drake, Kanye West, Lil Wayne, and Eminem.
  • C. Forever
    Forever is a song that forms part of the musical work or album titled "Daydream."
  • D. Forever
    Forever is a music album best known for featuring the track "Feeling Inside."
  • E. Forever
    Forever is a music album best known for featuring the track "Luv Me Luv Me."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ever
Triple: [Evergreen Marine, containerShipPrefix, Ever]
Generated description
"Ever" is the naming prefix used by Evergreen Marine Corporation for its fleet of container ships, such as the well-known Ever Given.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ever
Target entity description: "Ever" is the naming prefix used by Evergreen Marine Corporation for its fleet of container ships, such as the well-known Ever Given.
  • A. Never
    Never was the historical name of the Russian town now known as Skovorodino in Amur Oblast.
  • B. Forever
    Forever is a song that forms part of the musical work or album titled "Daydream."
  • C. Forever
    Forever is a music album best known for featuring the track "Feeling Inside."
  • D. Forever
    Forever is a music album best known for featuring the track "Luv Me Luv Me."
  • E. Forever
    Forever is a darkly comedic television series blending surreal elements with relationship drama, best known for starring Maya Rudolph and Fred Armisen as a married couple navigating an unexpected afterlife.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containerShipPrefix
Context triple: [Evergreen Marine, containerShipPrefix, Ever]
  • A. hasShipPrefix chosen
    Indicates that a ship is associated with or identified by a specific prefix in its name or designation.
  • B. shipName
    Indicates the name assigned to a specific ship in the relationship.
  • C. organizedShip
    Indicates that an entity arranged, managed, or coordinated the operation or voyage of a ship.
  • D. shipsWith
    Indicates that one entity is delivered, packaged, or provided together with another entity as part of the same shipment or bundle.
  • E. commandsShip
    Indicates that one entity has authority over and directs the operation of a ship.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7fe9fc81908b3b8d1dc06a829c completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b9a27f881908e451bfa6c118af4 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96fe942648190a8779e13e16b9196 completed April 10, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 8:53 p.m.