Triple

T3301054
Position Surface form Disambiguated ID Type / Status
Subject American History X E69332 entity
Predicate producer P490 FINISHED
Object John Morrissey
John Morrissey is a film producer best known for his work on the critically acclaimed drama "American History X."
 E348690 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 Morrissey | Statement: [American History X, producer, John Morrissey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Morrissey
Context triple: [American History X, producer, John Morrissey]
  • A. Joe Mullaney
    Joe Mullaney was a prominent American basketball coach known for his successful stints in college basketball and the ABA, including leading the Kentucky Colonels.
  • B. John McGlynn
    John McGlynn is a Scottish football manager best known for his successful spells in charge of Raith Rovers.
  • C. Jack Mulligan
    Jack Mulligan is a corrupt and ambitious Chicago politician who serves as a central antagonist in the heist thriller film "Widows" (2018).
  • D. Albert Scanlon
    Albert Scanlon was an English footballer who played as a winger for Manchester United's famed "Busby Babes" and later became known as one of the survivors of the 1958 Munich air disaster.
  • E. Frank McHugh
    Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
  • 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 Morrissey
Triple: [American History X, producer, John Morrissey]
Generated description
John Morrissey is a film producer best known for his work on the critically acclaimed drama "American History X."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Morrissey
Target entity description: John Morrissey is a film producer best known for his work on the critically acclaimed drama "American History X."
  • A. Joe Mullaney
    Joe Mullaney was a prominent American basketball coach known for his successful stints in college basketball and the ABA, including leading the Kentucky Colonels.
  • B. John McGlynn
    John McGlynn is a Scottish football manager best known for his successful spells in charge of Raith Rovers.
  • C. Jack Mulligan
    Jack Mulligan is a corrupt and ambitious Chicago politician who serves as a central antagonist in the heist thriller film "Widows" (2018).
  • D. Albert Scanlon
    Albert Scanlon was an English footballer who played as a winger for Manchester United's famed "Busby Babes" and later became known as one of the survivors of the 1958 Munich air disaster.
  • E. Frank McHugh
    Frank McHugh was an American character actor best known for his prolific work in 1930s and 1940s Hollywood films, often playing comic sidekicks and supporting roles.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6fcb9c819084b0c2a1c8af9c49 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c34cc388190a5fab8e9b2a1aa92 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da025048190b7d1611df82a542c completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:11 p.m.