Triple

T9429577
Position Surface form Disambiguated ID Type / Status
Subject 30 Rock Theme E227336 entity
Predicate associatedAwardContext P16522 FINISHED
Object Primetime Emmy Award-winning series 30 Rock 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: Primetime Emmy Award-winning series 30 Rock | Statement: [30 Rock Theme, associatedAwardContext, Primetime Emmy Award-winning series 30 Rock]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedAwardContext
Context triple: [30 Rock Theme, associatedAwardContext, Primetime Emmy Award-winning series 30 Rock]
  • A. relatedAward
    Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
  • B. awardContext chosen
    Indicates the situational or circumstantial context in which an award is given or received.
  • C. awardAssociation
    Indicates a relationship where an entity is connected to, or recognized by, a specific award or awarding body.
  • D. awardTo
    Indicates that an award, prize, or honor is given or assigned to a particular recipient.
  • E. hasAwardConnection
    Indicates a relationship where an entity is connected to an award, such as by receiving, being nominated for, or otherwise associated with that award.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c94719c81909d7743a57c45e07f completed April 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69cca55548488190b171ae695a3212de completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:49 p.m.