Triple

T21521388
Position Surface form Disambiguated ID Type / Status
Subject Teddy Edwards E530982 entity
Predicate associatedAct P37 FINISHED
Object Houston Person NE NERFINISHED

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: Houston Person | Statement: [Teddy Edwards, associatedAct, Houston Person]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston Person
Context triple: [Teddy Edwards, associatedAct, Houston Person]
  • A. Houston Person chosen
    Houston Person is an American jazz tenor saxophonist renowned for his soulful, blues-inflected style and extensive discography as both bandleader and sideman.
  • B. Houston First
    Houston First is a public corporation that manages and promotes Houston’s convention, arts, and entertainment facilities to drive tourism and economic development for the city.
  • C. Houston
    Houston is a major U.S. metropolis known for its energy industry, NASA’s Johnson Space Center, and its diverse, rapidly growing population.
  • D. Houston
    Houston is a village in Renfrewshire, Scotland, known for its historic conservation area and role as a commuter settlement near Glasgow.
  • E. Dallas Austin
    Dallas Austin is an American songwriter and producer known for crafting numerous R&B and pop hits for major artists since the late 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884cff5881908d93a54578e7b1b0 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.