Triple

T16270678
Position Surface form Disambiguated ID Type / Status
Subject Sophia Young E394989 entity
Predicate playedFor P2170 FINISHED
Object San Antonio Stars E92585 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: San Antonio Stars | Statement: [Sophia Young, playedFor, San Antonio Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Antonio Stars
Context triple: [Sophia Young, playedFor, San Antonio Stars]
  • A. San Antonio Riders
    The San Antonio Riders were a short-lived professional American football team that competed in the World League of American Football in the early 1990s.
  • B. San Antonio Wings
    The San Antonio Wings were a short-lived professional American football team based in San Antonio, Texas, that competed in the mid-1970s.
  • C. El Paso Sun Kings
    The El Paso Sun Kings were a minor league baseball team based in El Paso, Texas, that notably featured future actor Kurt Russell as a player.
  • D. San Antonio Thunder
    San Antonio Thunder was a short-lived professional soccer club based in San Antonio, Texas, that competed in the North American Soccer League during the mid-1970s.
  • E. San Antonio Silver Stars chosen
    The San Antonio Silver Stars were a professional women's basketball team in the WNBA based in San Antonio, Texas.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e246099dd081908e268a1a0cf8a373 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025fb88488190a2979c75fba67b9d completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:05 a.m.