Triple

T9520244
Position Surface form Disambiguated ID Type / Status
Subject Henry Lewy E229625 entity
Predicate placeOfDeath P21 FINISHED
Object Prescott, Arizona E24376 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: Prescott, Arizona | Statement: [Henry Lewy, placeOfDeath, Prescott, Arizona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prescott, Arizona
Context triple: [Henry Lewy, placeOfDeath, Prescott, Arizona]
  • A. Prescott
    Prescott is an Intel Pentium 4 microprocessor core known for introducing several new instruction set extensions and being manufactured on a 90 nm process.
  • B. Prescott
    Prescott is an English-origin surname borne by various notable individuals across politics, sports, and the arts.
  • C. Prescott
    Prescott is a small town in Eastern Ontario, Canada, situated along the St. Lawrence River and known historically as a strategic military and shipping point.
  • D. Prescott chosen
    Prescott is a historic city in north-central Arizona known for its Old West heritage, Victorian architecture, and role in the early political development of the state.
  • E. Mesa, Arizona
    Mesa, Arizona is a large city in the Phoenix metropolitan area known for its desert climate, suburban communities, and role as a major spring training hub for Major League Baseball.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9883c5c48190a6583921afe9730a completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d178eb63e08190b069faaa0c5dbcb2 completed April 4, 2026, 8:47 p.m.
Created at: March 30, 2026, 7:59 p.m.