Triple

T129236
Position Surface form Disambiguated ID Type / Status
Subject David Packard E2616 entity
Predicate hasFamilyName P18 FINISHED
Object Packard E2616 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: Packard | Statement: [David Packard, hasFamilyName, Packard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Packard
Context triple: [David Packard, hasFamilyName, Packard]
  • A. Packard chosen
    Packard is a surname most prominently associated with David Packard, the American electrical engineer and co-founder of Hewlett-Packard.
  • B. Buick
    Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
  • C. Oldsmobile
    Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
  • D. Cadillac
    Cadillac is a luxury automobile brand known for its premium vehicles and long-standing association with American upscale motoring.
  • E. Pontiac
    Pontiac was an American automobile marque known for its performance-oriented cars and sporty image, produced by General Motors until its discontinuation in 2010.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a2576518e0819096b35d8af7a4d1bd completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c938950081909990f481604ea022 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.