Triple

T22225407
Position Surface form Disambiguated ID Type / Status
Subject The Treaty E549324 entity
Predicate hasCastMember P2308 FINISHED
Object John O'Brien
John O'Brien is an actor known for his role in the Irish crime film "The Treaty."
 E1541948 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 O'Brien | Statement: [The Treaty, hasCastMember, John O'Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John O'Brien
Context triple: [The Treaty, hasCastMember, John O'Brien]
  • A. John O'Brien
    John O'Brien is an American screenwriter best known for co-writing the 2004 film adaptation of the classic television series "Starsky & Hutch."
  • B. John O'Brien
    John O'Brien was an American novelist best known for writing the semi-autobiographical novel "Leaving Las Vegas," which was later adapted into an acclaimed film.
  • C. John O’Brien
    John O’Brien is a business executive known for his leadership role overseeing franchise operations and strategy as a franchising director.
  • D. John O’Brien
    John O’Brien is a member of the historic O’Brien family associated with Machias, Maine.
  • E. Thomas O’Brien
    Thomas O’Brien was a New Zealand theatre entrepreneur and cinema pioneer best known for his role in developing major entertainment venues in Auckland in the early 20th century.
  • 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 O'Brien
Triple: [The Treaty, hasCastMember, John O'Brien]
Generated description
John O'Brien is an actor known for his role in the Irish crime film "The Treaty."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John O'Brien
Target entity description: John O'Brien is an actor known for his role in the Irish crime film "The Treaty."
  • A. John O'Brien
    John O'Brien is an American screenwriter best known for co-writing the 2004 film adaptation of the classic television series "Starsky & Hutch."
  • B. John O'Brien
    John O'Brien was an American novelist best known for writing the semi-autobiographical novel "Leaving Las Vegas," which was later adapted into an acclaimed film.
  • C. John O’Brien
    John O’Brien is a business executive known for his leadership role overseeing franchise operations and strategy as a franchising director.
  • D. John O’Brien
    John O’Brien is a member of the historic O’Brien family associated with Machias, Maine.
  • E. Thomas O’Brien
    Thomas O’Brien was a New Zealand theatre entrepreneur and cinema pioneer best known for his role in developing major entertainment venues in Auckland in the early 20th century.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b93e2208190aee70ffd82962ea0 completed April 28, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1dc1a2b0819086f47315c7b12fab completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1f3809808190bd5d0e826ce68155 completed May 18, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0b257ec8a481908bf6c6c0b722e702 completed May 18, 2026, 2:43 p.m.
Created at: April 16, 2026, 8:37 p.m.