Triple

T30713990
Position Surface form Disambiguated ID Type / Status
Subject Natalia Alianovna Romanova E781970 entity
Predicate mcuNotableFilm P170058 FINISHED
Object The Avengers 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: The Avengers | Statement: [Natalia Alianovna Romanova, mcuNotableFilm, The Avengers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mcuNotableFilm
Context triple: [Natalia Alianovna Romanova, mcuNotableFilm, The Avengers]
  • A. notableOriginalFilm
    Indicates that a work is the original film from which another work (such as a remake, adaptation, or related production) is derived or notably based.
  • B. notableProductionFor
    Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
  • C. madeFamousByFilm
    Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
  • D. mentionedInFilm
    Indicates that an entity is referenced or talked about within the content of a film.
  • E. notableCastFeature
    Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
  • 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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c20d09481908f566241722507d3 completed May 2, 2026, 11:43 p.m.
PD Predicate disambiguation batch_69f6861170d08190bb98be609d436f84 completed May 2, 2026, 11:17 p.m.
PDg Predicate description generation batch_69f688034580819086a0f9100645f8ba completed May 2, 2026, 11:25 p.m.
Created at: April 29, 2026, 8:35 p.m.