Triple

T13147755
Position Surface form Disambiguated ID Type / Status
Subject Glorious 39 E312383 entity
Predicate producer P490 FINISHED
Object Nick O'Hagan
Nick O'Hagan is a film producer best known for his work on the British World War II-era thriller "Glorious 39."
E1040888 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: Nick O'Hagan | Statement: [Glorious 39, producer, Nick O'Hagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick O'Hagan
Context triple: [Glorious 39, producer, Nick O'Hagan]
  • A. Jay O’Connor
    Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
  • B. Greg O’Connor
    Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
  • C. Tim O'Connor
    Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
  • D. Angus O'Connor
    Angus O'Connor is a fictional character portrayed by Scottish actor Clive Russell.
  • E. Sean McGinnes
    Sean McGinnes is a fictional character from the television series "Hell on Wheels," depicted as an ambitious Irish immigrant involved in the business and political intrigues surrounding the construction of the transcontinental railroad.
  • 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: Nick O'Hagan
Triple: [Glorious 39, producer, Nick O'Hagan]
Generated description
Nick O'Hagan is a film producer best known for his work on the British World War II-era thriller "Glorious 39."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nick O'Hagan
Target entity description: Nick O'Hagan is a film producer best known for his work on the British World War II-era thriller "Glorious 39."
  • A. Jay O’Connor
    Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
  • B. Greg O’Connor
    Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
  • C. Tim O'Connor
    Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
  • D. Angus O'Connor
    Angus O'Connor is a fictional character portrayed by Scottish actor Clive Russell.
  • E. Sean McGinnes
    Sean McGinnes is a fictional character from the television series "Hell on Wheels," depicted as an ambitious Irish immigrant involved in the business and political intrigues surrounding the construction of the transcontinental railroad.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73970791c8190af0facf83b0a2107 completed May 3, 2026, 12:02 p.m.
NEDg Description generation batch_69f73de6dce8819091ac5b5a5891c38c completed May 3, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69f73e30d23c8190ad1d1251b433c74e completed May 3, 2026, 12:23 p.m.
Created at: April 9, 2026, 9:10 p.m.