Triple

T33529649
Position Surface form Disambiguated ID Type / Status
Subject Trail of the Pink Panther E858737 entity
Predicate usesFootageOf P177728 FINISHED
Object Peter Sellers NE NERFINISHED

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: Peter Sellers | Statement: [Trail of the Pink Panther, usesFootageOf, Peter Sellers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFootageOf
Context triple: [Trail of the Pink Panther, usesFootageOf, Peter Sellers]
  • A. usesFootageType
    Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
  • B. usesUnusedFootageOf chosen
    Indicates that one entity incorporates or includes previously unused or discarded footage originating from another entity.
  • C. includesNewFootageWith
    Indicates that one entity (such as a media release or edition) contains additional or previously unseen footage associated with another entity.
  • D. isVideoOf
    Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other entity.
  • E. usesStills
    Indicates that one entity employs or incorporates still images or photographs as part of its content, process, or representation.
  • 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_69f34978caf4819083f90eba4944d8e8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f71fb1ab3881908e2f7c0e6f23db49 completed May 3, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69f71cc6397881909aaad37a9daa8a7e completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 1:39 a.m.