Triple

T963488
Position Surface form Disambiguated ID Type / Status
Subject Armando Hart Dávalos E20785 entity
Predicate familyName P18 FINISHED
Object Hart E55151 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: Hart | Statement: [Armando Hart Dávalos, familyName, Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hart
Context triple: [Armando Hart Dávalos, familyName, Hart]
  • A. Hart chosen
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • B. Hartnett
    Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
  • C. Harrington
    Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
  • D. Leatherhead
    Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
  • E. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b416cf4c8190bd685227db25fb53 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a6107481909b152291a73958d3 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.