Triple

T21993650
Position Surface form Disambiguated ID Type / Status
Subject The Ottoman Lieutenant E543148 entity
Predicate castMember P1668 FINISHED
Object Paul Barrett
Paul Barrett is an actor known for his role in the historical drama film "The Ottoman Lieutenant."
 E1525577 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: Paul Barrett | Statement: [The Ottoman Lieutenant, castMember, Paul Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Barrett
Context triple: [The Ottoman Lieutenant, castMember, Paul Barrett]
  • A. Paul Barrett
    Paul Barrett is a British paleontologist known for his research on dinosaur evolution and taxonomy, particularly ornithischian dinosaurs, and his work at the Natural History Museum in London.
  • B. Sam Barrington
    Sam Barrington is an American former NFL linebacker who played primarily for the Green Bay Packers after a standout college career at the University of South Florida.
  • C. John Barrett
    John Barrett was an actor who appeared in the 1978 animated film adaptation of "The Water Babies."
  • D. Tony Barrett
    Tony Barrett is a fictional character appearing in the film "The Wedding Night."
  • E. Philip Barrett
    Philip Barrett was the husband of Scottish-American actress Eileen Herlie, known primarily in relation to her career on stage and screen.
  • 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: Paul Barrett
Triple: [The Ottoman Lieutenant, castMember, Paul Barrett]
Generated description
Paul Barrett is an actor known for his role in the historical drama film "The Ottoman Lieutenant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Barrett
Target entity description: Paul Barrett is an actor known for his role in the historical drama film "The Ottoman Lieutenant."
  • A. Paul Barrett
    Paul Barrett is a British paleontologist known for his research on dinosaur evolution and taxonomy, particularly ornithischian dinosaurs, and his work at the Natural History Museum in London.
  • B. Sam Barrington
    Sam Barrington is an American former NFL linebacker who played primarily for the Green Bay Packers after a standout college career at the University of South Florida.
  • C. John Barrett
    John Barrett was an actor who appeared in the 1978 animated film adaptation of "The Water Babies."
  • D. Tony Barrett
    Tony Barrett is a fictional character appearing in the film "The Wedding Night."
  • E. Philip Barrett
    Philip Barrett was the husband of Scottish-American actress Eileen Herlie, known primarily in relation to her career on stage and screen.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1270f77fc8190aadcc02760d65ac0 completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae57ea5c81909003d0c6da529fbf completed May 18, 2026, 6:14 a.m.
NEDg Description generation batch_6a0aaf0f47948190b602d1016badc21c completed May 18, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab0befa5481909d00cb845dd67b12 completed May 18, 2026, 6:25 a.m.
Created at: April 16, 2026, 8:17 p.m.