Triple

T14957413
Position Surface form Disambiguated ID Type / Status
Subject Drunk History E372966 entity
Predicate notableCastType P24103 FINISHED
Object guest actors 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: guest actors | Statement: [Drunk History, notableCastType, guest actors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableCastType
Context triple: [Drunk History, notableCastType, guest actors]
  • A. notableCastFeature chosen
    Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
  • B. notableCastMember
    Indicates that an entity is a member of the cast of another entity (such as a film, show, or production) and is considered particularly notable or significant in that role.
  • C. notableCharacterType
    Indicates that an entity is a notable or prominent example of a specified character type or role.
  • D. notableCastPairing
    Indicates that two cast members are notably associated with each other in a particular work, such as through a prominent or distinctive joint appearance.
  • E. notableStar
    Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69de9a5d995881909e33658f5aea5582 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:40 a.m.