Triple

T461486
Position Surface form Disambiguated ID Type / Status
Subject Baylor Lady Bears basketball E7347 entity
Predicate notableAlumna P4387 FINISHED
Object Odyssey Sims E57409 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: Odyssey Sims | Statement: [Baylor Lady Bears basketball, notableAlumna, Odyssey Sims]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odyssey Sims
Context triple: [Baylor Lady Bears basketball, notableAlumna, Odyssey Sims]
  • A. Odyssey Sims chosen
    Odyssey Sims is an American professional basketball guard known for her standout collegiate career at Baylor University and subsequent success in the WNBA.
  • B. Populous
    Populous is a global architecture and design firm renowned for creating major sports stadiums, arenas, and large-scale event venues.
  • C. Troy
    Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
  • D. Simon the Zealot
    Simon the Zealot is a figure in the New Testament traditionally recognized as one of Jesus Christ’s twelve apostles, distinguished by his epithet suggesting former association with a Jewish nationalist movement.
  • E. Hades
    Hades is the ancient Greek god of the underworld and the dead, ruling over the realm of the afterlife.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2f01ec5148190b74e1727712f1163 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a452947cd0819084fd885afce26da8 completed March 1, 2026, 2:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.