Triple

T14454623
Position Surface form Disambiguated ID Type / Status
Subject In Old Chicago E358424 entity
Predicate mainCharacter P1183 FINISHED
Object Dion O’Leary
Dion O’Leary is the central protagonist of the 1937 historical drama film "In Old Chicago," which dramatizes events leading up to the Great Chicago Fire of 1871.
E1205592 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: Dion O’Leary | Statement: [In Old Chicago, mainCharacter, Dion O’Leary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dion O’Leary
Context triple: [In Old Chicago, mainCharacter, Dion O’Leary]
  • A. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • B. Kevin Duggan
    Kevin Duggan is a relatively obscure individual whose name is shared with multiple people across different professions, such as sports and public service.
  • C. Kevin O'Connell
    Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
  • D. Dan O'Brien
    Dan O'Brien is a former American decathlete and Olympic gold medalist widely regarded as one of the greatest decathletes in history.
  • E. Nick O'Brien
    Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
  • 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: Dion O’Leary
Triple: [In Old Chicago, mainCharacter, Dion O’Leary]
Generated description
Dion O’Leary is the central protagonist of the 1937 historical drama film "In Old Chicago," which dramatizes events leading up to the Great Chicago Fire of 1871.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dion O’Leary
Target entity description: Dion O’Leary is the central protagonist of the 1937 historical drama film "In Old Chicago," which dramatizes events leading up to the Great Chicago Fire of 1871.
  • A. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • B. Kevin Duggan
    Kevin Duggan is a relatively obscure individual whose name is shared with multiple people across different professions, such as sports and public service.
  • C. Kevin O'Connell
    Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
  • D. Dan O'Brien
    Dan O'Brien is a former American decathlete and Olympic gold medalist widely regarded as one of the greatest decathletes in history.
  • E. Nick O'Brien
    Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f79c6ac81909935dace3dcc8bea completed May 10, 2026, 6:02 a.m.
NEDg Description generation batch_6a00217cba8c819098b038579eb51957 completed May 10, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a00221262288190b154d2e2c318d162 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 1:19 a.m.