Triple

T14191958
Position Surface form Disambiguated ID Type / Status
Subject Al Swearengen E351732 entity
Predicate associatedWith P37 FINISHED
Object Trixie E982784 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: [Al Swearengen, associatedWith, Trixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trixie
Context triple: [Al Swearengen, associatedWith, Trixie]
  • A. Trixie chosen
    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
    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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1946eb68819096adf3c16a39818d completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.