Triple

T34904921
Position Surface form Disambiguated ID Type / Status
Subject Evan Alex E1006695 entity
Predicate portraysCharactersIn P80218 FINISHED
Object horror genre films 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: horror genre films | Statement: [Evan Alex, portraysCharactersIn, horror genre films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portraysCharactersIn
Context triple: [Evan Alex, portraysCharactersIn, horror genre films]
  • A. portraysCharacterIn
    Indicates that one entity depicts or represents a particular character within a work, such as a film, show, or other narrative medium.
  • B. portraysCharacterInGenre chosen
    Indicates that an entity depicts or plays a character within works belonging to a specified genre.
  • C. portrayedVia
    Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
  • D. directorPortraysCharacter
    Indicates that a film director personally appears in a work portraying a specific character.
  • E. portraysMainCharacter
    Indicates that one entity depicts or represents another entity as the primary or central character in a work or narrative.
  • 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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff1f3f94fc819095955299f50ab4ce completed May 9, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69ff1ea47748819082f63d9b9d9c3e65 completed May 9, 2026, 11:46 a.m.
Created at: May 3, 2026, 4 p.m.