Triple

T1583070
Position Surface form Disambiguated ID Type / Status
Subject Bortus E34009 entity
Predicate friend P8712 FINISHED
Object John LaMarr
John LaMarr is a brilliant yet laid-back engineer and later chief engineer aboard the USS Orville in the science fiction TV series "The Orville."
E184647 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: John LaMarr | Statement: [Bortus, friend, John LaMarr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John LaMarr
Context triple: [Bortus, friend, John LaMarr]
  • A. Chris Parnell
    Chris Parnell is an American actor and comedian best known for his work on "Saturday Night Live" and roles in series like "30 Rock," "Archer," and "Rick and Morty."
  • B. Josh James
    Josh James is an American entrepreneur best known as the co-founder and former CEO of web analytics company Omniture.
  • C. Eric Palicki
    Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
  • D. Shane Hurlbut
    Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
  • E. Michael Ealy
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • 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: John LaMarr
Triple: [Bortus, friend, John LaMarr]
Generated description
John LaMarr is a brilliant yet laid-back engineer and later chief engineer aboard the USS Orville in the science fiction TV series "The Orville."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John LaMarr
Target entity description: John LaMarr is a brilliant yet laid-back engineer and later chief engineer aboard the USS Orville in the science fiction TV series "The Orville."
  • A. Chris Parnell
    Chris Parnell is an American actor and comedian best known for his work on "Saturday Night Live" and roles in series like "30 Rock," "Archer," and "Rick and Morty."
  • B. Josh James
    Josh James is an American entrepreneur best known as the co-founder and former CEO of web analytics company Omniture.
  • C. Eric Palicki
    Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
  • D. Shane Hurlbut
    Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
  • E. Michael Ealy
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ef80a48190bd5a8e51c65e5588 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58bec288819082326e9e17ed289d completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad5a92f9248190861bdcad8d29560d completed March 8, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ad5af8d2c48190b698ecc33965dd8b completed March 8, 2026, 11:18 a.m.
Created at: March 4, 2026, 7:27 p.m.