Triple

T9741487
Position Surface form Disambiguated ID Type / Status
Subject The Wedding Ringer E236195 entity
Predicate producer P490 FINISHED
Object Adam Fields
Adam Fields is a film producer known for his work on various Hollywood movies, including the comedy "The Wedding Ringer."
E818833 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: Adam Fields | Statement: [The Wedding Ringer, producer, Adam Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Fields
Context triple: [The Wedding Ringer, producer, Adam Fields]
  • A. Stan Fields
    Stan Fields is a fictional beauty pageant host and commentator featured in the comedy film series "Miss Congeniality."
  • B. Nathan Field
    Nathan Field was a notable English Jacobean actor and playwright associated with the Children of the Queen's Revels and later the King's Men.
  • C. Jack Fields
    Jack Fields was the first husband of American actress and television producer Whitney Blake.
  • D. Jack Burkhart
    Jack Burkhart is a minor character in the television sitcom "That '70s Show," known as the wealthy and often absent father of Jackie Burkhart.
  • E. Bradley Morrow
    Bradley Morrow is an American writer, editor, and professor best known as the founding editor of the literary magazine Conjunctions and for his work in contemporary fiction and literary culture.
  • 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: Adam Fields
Triple: [The Wedding Ringer, producer, Adam Fields]
Generated description
Adam Fields is a film producer known for his work on various Hollywood movies, including the comedy "The Wedding Ringer."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adam Fields
Target entity description: Adam Fields is a film producer known for his work on various Hollywood movies, including the comedy "The Wedding Ringer."
  • A. Stan Fields
    Stan Fields is a fictional beauty pageant host and commentator featured in the comedy film series "Miss Congeniality."
  • B. Nathan Field
    Nathan Field was a notable English Jacobean actor and playwright associated with the Children of the Queen's Revels and later the King's Men.
  • C. Jack Fields
    Jack Fields was the first husband of American actress and television producer Whitney Blake.
  • D. Jack Burkhart
    Jack Burkhart is a minor character in the television sitcom "That '70s Show," known as the wealthy and often absent father of Jackie Burkhart.
  • E. Bradley Morrow
    Bradley Morrow is an American writer, editor, and professor best known as the founding editor of the literary magazine Conjunctions and for his work in contemporary fiction and literary culture.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aff2339c8190b164b13b54a40cec completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b08ba1f48190830852f9d60e3368 completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b124659481909e7a2ecaf01d8a50 completed April 5, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:23 p.m.