Triple

T9709512
Position Surface form Disambiguated ID Type / Status
Subject Jean Murat E234985 entity
Predicate notableRelative P367 FINISHED
Object Annabella E43014 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: Annabella | Statement: [Jean Murat, notableRelative, Annabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annabella
Context triple: [Jean Murat, notableRelative, Annabella]
  • A. Annabella chosen
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • B. Nadja
    Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
  • C. Christabella
    Christabella is the fanatical cult leader and primary antagonist in the 2006 horror film "Silent Hill," portrayed by Alice Krige.
  • D. Annabella Azín
    Annabella Azín is an Ecuadorian physician and politician known for her public health work and role in national politics.
  • E. Carmina
    Carmina is the celebrated collection of lyric poems by the Roman poet Catullus, renowned for its passionate expressions of love, friendship, and invective.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da7c6188190b086f7e411378268 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af93b76c81908377f17956fb86b1 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:19 p.m.