Triple

T20236761
Position Surface form Disambiguated ID Type / Status
Subject Glynis Margaret Payne Johns E498169 entity
Predicate notableWork P4 FINISHED
Object The Ref
The Ref is a 1994 dark comedy film about a burglar who is forced to mediate a bickering family's Christmas Eve meltdown.
E485722 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: The Ref | Statement: [Glynis Margaret Payne Johns, notableWork, The Ref]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ref
Context triple: [Glynis Margaret Payne Johns, notableWork, The Ref]
  • A. The Ref
    The Ref is a 1994 dark comedy film in which a burglar is forced to mediate a bickering couple’s marital problems on Christmas Eve.
  • B. The Referee
    The Referee is the official in association football responsible for enforcing the Laws of the Game, making decisions on play, and maintaining order on the field.
  • C. The Fan
    The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
  • D. The Fan
    The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
  • E. The Rec
    The Rec is a well-known sports and recreation ground, most famously serving as the home stadium of the Bath Rugby Club in Bath, England.
  • 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: The Ref
Triple: [Glynis Margaret Payne Johns, notableWork, The Ref]
Generated description
The Ref is a 1994 dark comedy film about a burglar who is forced to mediate a bickering family's Christmas Eve meltdown.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Ref
Target entity description: The Ref is a 1994 dark comedy film about a burglar who is forced to mediate a bickering family's Christmas Eve meltdown.
  • A. The Ref chosen
    The Ref is a 1994 dark comedy film in which a burglar is forced to mediate a bickering couple’s marital problems on Christmas Eve.
  • B. The Referee
    The Referee is the official in association football responsible for enforcing the Laws of the Game, making decisions on play, and maintaining order on the field.
  • C. The Fan
    The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
  • D. The Fan
    The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
  • E. The Rec
    The Rec is a well-known sports and recreation ground, most famously serving as the home stadium of the Bath Rugby Club in Bath, England.
  • F. None of above.

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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716a5af0819095ea419a4d1f0d1d completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b90635c8190b7452042a4dcc271 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084d86121c8190bba37790a114cfae completed May 16, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a084dded4908190a63889b4c382d76f completed May 16, 2026, 10:58 a.m.
Created at: April 11, 2026, 11:40 p.m.