Triple

T6736393
Position Surface form Disambiguated ID Type / Status
Subject John Beasley E153764 entity
Predicate playedFor P2170 FINISHED
Object Texas Chaparrals E109998 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: Texas Chaparrals | Statement: [John Beasley, playedFor, Texas Chaparrals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas Chaparrals
Context triple: [John Beasley, playedFor, Texas Chaparrals]
  • A. Texas Chaparrals chosen
    Texas Chaparrals was a professional basketball team in the American Basketball Association that later became known as the Dallas Chaparrals.
  • B. Chaparrals
    Chaparrals is the short name of the former American Basketball Association team that later became the San Antonio Spurs.
  • C. Chaparral
    Chaparral is the roadrunner mascot representing the College of DuPage’s athletic teams and school spirit.
  • D. Chaparral
    Chaparral is a significant municipality and urban center in Colombia’s Tolima Department, known for its agricultural economy and role in the region’s cultural and political history.
  • E. Chaparral, New Mexico
    Chaparral, New Mexico is a large unincorporated community in southern New Mexico, situated near the Texas border and the city of El Paso.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18369d88190a73349075462202b completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b09b97c8190a5a538571b6909f0 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.