Triple

T34896435
Position Surface form Disambiguated ID Type / Status
Subject Sean Archer E1006446 entity
Predicate portrayalNote P199094 FINISHED
Object Travolta plays Archer in his own body and Cage-as-Archer after the face swap 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: Travolta plays Archer in his own body and Cage-as-Archer after the face swap | Statement: [Sean Archer, portrayalNote, Travolta plays Archer in his own body and Cage-as-Archer after the face swap]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayalNote
Context triple: [Sean Archer, portrayalNote, Travolta plays Archer in his own body and Cage-as-Archer after the face swap]
  • A. portrayalFeature
    Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
  • B. portrayalRecognition
    Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
  • C. portrayalLanguage
    Indicates the language in which something is depicted, represented, or expressed.
  • D. portrayalDiffersFrom
    Indicates that one portrayal of an entity differs in some respect from another portrayal of the same entity.
  • E. portrayalIntendedAs
    Indicates that one entity is meant to represent, depict, or stand in for another entity in an intentional portrayal.
  • F. None of above. chosen

Provenance (4 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_69f76dbfe5788190ad8b64f241f470c8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff1e3e13c08190bb8990c44716b746 completed May 9, 2026, 11:45 a.m.
PD Predicate disambiguation batch_69ff1dfcaf2c8190aaf2b428d57b7782 completed May 9, 2026, 11:43 a.m.
PDg Predicate description generation batch_69ff1e3d5f488190ba6e4f024128fb99 completed May 9, 2026, 11:45 a.m.
Created at: May 3, 2026, 4 p.m.