Triple

T21993627
Position Surface form Disambiguated ID Type / Status
Subject The Ottoman Lieutenant E543148 entity
Predicate producer P490 FINISHED
Object Stephen Brown
Stephen Brown is a film producer known for his work on the historical drama "The Ottoman Lieutenant."
E1524110 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: Stephen Brown | Statement: [The Ottoman Lieutenant, producer, Stephen Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Brown
Context triple: [The Ottoman Lieutenant, producer, Stephen Brown]
  • A. Stephen Brown
    Stephen Brown is a film director best known for directing the drama "The Sea," adapted from John Banville’s Booker Prize–winning novel.
  • B. Chris Browne
    Chris Browne is a baseball executive best known for serving as commissioner of the independent Northern League.
  • C. Chris Browne
    Chris Browne is an American cartoonist best known for taking over and drawing the long-running comic strip "Hägar the Horrible."
  • D. Ryan Brown
    Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
  • E. Ryan Brown
    Ryan Brown is a comic book colorist known for his work on the supernatural action series *The Tower Chronicles*.
  • 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: Stephen Brown
Triple: [The Ottoman Lieutenant, producer, Stephen Brown]
Generated description
Stephen Brown is a film producer known for his work on the historical drama "The Ottoman Lieutenant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stephen Brown
Target entity description: Stephen Brown is a film producer known for his work on the historical drama "The Ottoman Lieutenant."
  • A. Stephen Brown
    Stephen Brown is a film director best known for directing the drama "The Sea," adapted from John Banville’s Booker Prize–winning novel.
  • B. Chris Browne
    Chris Browne is a baseball executive best known for serving as commissioner of the independent Northern League.
  • C. Chris Browne
    Chris Browne is an American cartoonist best known for taking over and drawing the long-running comic strip "Hägar the Horrible."
  • D. Ryan Brown
    Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
  • E. Ryan Brown
    Ryan Brown is a comic book colorist known for his work on the supernatural action series *The Tower Chronicles*.
  • 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_6a0aa5fab2f481908a403da838f3a298 completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa6930fa481909bfd0c97f4880804 completed May 18, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa7150e9c81908069369f2075dea5 completed May 18, 2026, 5:43 a.m.
Created at: April 16, 2026, 8:17 p.m.