Triple

T11474012
Position Surface form Disambiguated ID Type / Status
Subject Beat Bobby Flay E271978 entity
Predicate hasGuestRole P80078 FINISHED
Object celebrity guests help pick challenger LITERAL FINISHED

How this triple was built (2 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: celebrity guests help pick challenger | Statement: [Beat Bobby Flay, hasGuestRole, celebrity guests help pick challenger]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGuestRole
Context triple: [Beat Bobby Flay, hasGuestRole, celebrity guests help pick challenger]
  • A. guestRole chosen
    Indicates that one entity participates in or is associated with another entity in the capacity of a guest, specifying the nature or type of that guest participation.
  • B. hasGlobalRole
    Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
  • C. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • D. supportsGuest
    Indicates that one entity provides assistance, resources, or accommodation to another entity in the role of a guest.
  • E. hasPassengerRole
    Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
  • F. None of above.

Provenance (3 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294b3f388190a587c358313f7260 completed April 9, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:35 p.m.