Triple

T20474905
Position Surface form Disambiguated ID Type / Status
Subject Biz Mackey E502287 entity
Predicate team P3756 FINISHED
Object Indianapolis ABCs 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: Indianapolis ABCs | Statement: [Biz Mackey, team, Indianapolis ABCs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indianapolis ABCs
Context triple: [Biz Mackey, team, Indianapolis ABCs]
  • A. Indianapolis ABCs chosen
    The Indianapolis ABCs were an early 20th-century Negro league baseball team known for being one of the charter members of the original Negro National League.
  • B. Indy
    Indy is a recurring character in the animated children's series "Bluey," known as one of Bluey's imaginative and energetic dog friends.
  • C. Indy
    Indy is the adventurous archaeologist and whip-wielding hero at the center of the Indiana Jones film franchise.
  • D. Indy
    Indy is a compact UNIX workstation developed by Silicon Graphics in the early 1990s, notable for its advanced graphics and multimedia capabilities for its time.
  • E. Hoop City
    Hoop City is a nickname for Springfield, Massachusetts, highlighting its rich basketball history and status as the birthplace of the sport.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996464448190bdf9cf63c736d6dd completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.