Triple

T22769272
Position Surface form Disambiguated ID Type / Status
Subject Zeppotron E563210 entity
Predicate associatedWith P37 FINISHED
Object Annabel Jones 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: Annabel Jones | Statement: [Zeppotron, associatedWith, Annabel Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annabel Jones
Context triple: [Zeppotron, associatedWith, Annabel Jones]
  • A. Annabel Jones
    Annabel Jones is the crime-fiction pen name of British author Mary Christianna Milne.
  • B. Annabel Jones chosen
    Annabel Jones is a Welsh television producer best known as the co-creator and executive producer of the acclaimed anthology series Black Mirror.
  • C. Annabel Andrews
    Annabel Andrews is the teenage protagonist of the 1976 body-swap comedy film "Freaky Friday," known for magically exchanging lives with her mother.
  • D. Annabel Andrews
    Annabel Andrews is the teenage protagonist of Mary Rodgers' humorous fantasy novels, best known for her body-swapping adventures and time-traveling misadventures.
  • E. Annabel Croft
    Annabel Croft is a former British professional tennis player who later became a well-known television presenter and sports broadcaster.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.