Triple

T15861851
Position Surface form Disambiguated ID Type / Status
Subject Grace Edna Hart E384606 entity
Predicate hasLastName 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: [Grace Edna Hart, hasLastName, Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hart
Context triple: [Grace Edna Hart, hasLastName, Hart]
  • A. Hart
    Hart was a British racing engine manufacturer best known for supplying competitive turbo and naturally aspirated engines to various Formula One and other motorsport teams in the 1970s–1990s.
  • B. 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."
  • C. Hart
    Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
  • D. Good Hart
    Good Hart is a small unincorporated community and lakeside resort area on the shore of Lake Michigan in northern Michigan.
  • E. Hood
    "Hood" is a novel by Emma Donoghue that explores grief, identity, and a lesbian relationship in contemporary Ireland.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555c75688190aeae5bcf5bb92bb7 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.