Triple

T10583516
Position Surface form Disambiguated ID Type / Status
Subject Annette E249793 entity
Predicate mainCharacter P1183 FINISHED
Object Annette E249793 NE 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: Annette | Statement: [Annette, mainCharacter, Annette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annette
Context triple: [Annette, mainCharacter, Annette]
  • A. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • B. Annette chosen
    Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
  • C. Gigi
    Gigi was the affectionate nickname of Gianna Bryant, the late daughter of NBA legend Kobe Bryant who was known for her own promising basketball talent.
  • D. Gigi
    Gigi is a resident of the Convent, a communal living space central to Toni Morrison’s novel "Paradise."
  • E. Gigi
    Gigi is a 1958 American musical romantic comedy film, directed by Vincente Minnelli, that won multiple Academy Awards and is celebrated for its lavish production and memorable score.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52767d2e0819099511e29e254bc34 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b820330819090ed70c6ba29b5c2 completed April 10, 2026, 7:12 p.m.
Created at: April 6, 2026, 12:39 p.m.