Triple

T12959133
Position Surface form Disambiguated ID Type / Status
Subject Bonnie Anderson E310090 entity
Predicate favoriteToy P90492 FINISHED
Object Trixie E820457 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: Trixie | Statement: [Bonnie Anderson, favoriteToy, Trixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trixie
Context triple: [Bonnie Anderson, favoriteToy, Trixie]
  • A. Trixie
    Trixie is a sharp-tongued, resilient prostitute and later businesswoman in the television series "Deadwood," known for her complex relationship with saloon owner Al Swearengen.
  • B. Trixie
    Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
  • C. Trixie
    Trixie is a 2000 neo-noir mystery-comedy film known for its quirky dialogue and offbeat detective story, directed by Alan Rudolph.
  • D. Trixie chosen
    Trixie is a character connected to Bonnie Anderson in the Toy Story franchise, likely appearing in or around her home.
  • E. Trixie Delight
    Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9804b743c8190810dc5c14bc6d912 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dddd80819094c80ef405024419 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:44 p.m.