Triple
T10624784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ever Grade |
E250294
|
entity |
| Predicate | sisterShipOf |
P3142
|
FINISHED |
| Object |
Ever Greet
Ever Greet is a large container ship operated by Evergreen Marine, belonging to the same class of ultra-large vessels as the Ever Grade.
|
E876234
|
NE FINISHED |
How this triple was built (4 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 Greet | Statement: [Ever Grade, sisterShipOf, Ever Greet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ever Greet Context triple: [Ever Grade, sisterShipOf, Ever Greet]
-
A.
The Greeting
The Greeting is a renowned video art installation by Bill Viola that reimagines Pontormo’s Mannerist painting "The Visitation" through ultra-slow-motion footage of an encounter between three women.
-
B.
Good Morning
"Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
-
C.
Good Morning
"Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
-
D.
After Ever Happy
After Ever Happy is a romantic drama film in the "After" series, continuing the tumultuous love story of Tessa Young and Hardin Scott.
-
E.
Just a Gift
"Just a Gift" is a song by Keith Richards from his 2015 solo album "Crosseyed Heart."
- 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 Greet Triple: [Ever Grade, sisterShipOf, Ever Greet]
Generated description
Ever Greet is a large container ship operated by Evergreen Marine, belonging to the same class of ultra-large vessels as the Ever Grade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ever Greet Target entity description: Ever Greet is a large container ship operated by Evergreen Marine, belonging to the same class of ultra-large vessels as the Ever Grade.
-
A.
The Greeting
The Greeting is a renowned video art installation by Bill Viola that reimagines Pontormo’s Mannerist painting "The Visitation" through ultra-slow-motion footage of an encounter between three women.
-
B.
Good Morning
"Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
-
C.
Good Morning
"Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
-
D.
After Ever Happy
After Ever Happy is a romantic drama film in the "After" series, continuing the tumultuous love story of Tessa Young and Hardin Scott.
-
E.
Just a Gift
"Just a Gift" is a song by Keith Richards from his 2015 solo album "Crosseyed Heart."
- F. None of above. chosen
Provenance (5 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. |
Created at: April 8, 2026, 8:53 p.m.