Triple

T33510888

Position	Surface form	Disambiguated ID	Type / Status
Subject	Roller Boogie	`E858238`	entity
Predicate	leadActorBackground	`P52443`	FINISHED
Object	Jim Bray was a professional roller skater Jim Bray is a former professional roller skater best known for starring in the 1979 disco-era film "Roller Boogie."	`E2056337`	NE FINISHED

How this triple was built (3 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: Jim Bray was a professional roller skater | Statement: [Roller Boogie, leadActorBackground, Jim Bray was a professional roller skater]

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: Jim Bray was a professional roller skater
Triple: [Roller Boogie, leadActorBackground, Jim Bray was a professional roller skater]

Generated description

Jim Bray is a former professional roller skater best known for starring in the 1979 disco-era film "Roller Boogie."

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: leadActorBackground
Context triple: [Roller Boogie, leadActorBackground, Jim Bray was a professional roller skater]

A. actorBackground chosen
Indicates that one entity provides contextual or biographical background information about an actor entity.
B. leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
C. leadActorParent
Indicates that one entity is the parent of the lead actor associated with another entity (such as a film, show, or performance).
D. leadActorOfAdaptation
Indicates that a person is the main actor in a specific adaptation of a work (such as a film, series, or stage version).
E. leadActorLaterOffice
Indicates that an individual who was the lead actor in a work later held a formal office or official position.
F. None of above.

Provenance (6 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_69f3497721848190978fbee5e0a526f8`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f7886be6d8819095ec62e4f2cee858`	completed	May 3, 2026, 5:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a35a670ce488190bce14b377882b15f`	completed	June 19, 2026, 8:28 p.m.
NEDg	Description generation	`batch_6a35a6f4ab6c8190a2dfb9106765b8dd`	completed	June 19, 2026, 8:30 p.m.
NED2	Entity disambiguation (via description)	`batch_6a35a75e1c488190b928a3fa1efaad7c`	completed	June 19, 2026, 8:32 p.m.
PD	Predicate disambiguation	`batch_69f7841440f48190b4346c08855951d2`	completed	May 3, 2026, 5:21 p.m.

Created at: May 1, 2026, 1:38 a.m.