Triple

T3334472
Position Surface form Disambiguated ID Type / Status
Subject Lions E70107 entity
Predicate shortName P43 FINISHED
Object Lions E70107 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: Lions | Statement: [Lions, shortName, Lions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lions
Context triple: [Lions, shortName, Lions]
  • A. Lions chosen
    Lions is the commonly used short name for the Brisbane Lions, a professional Australian rules football club based in Brisbane that competes in the Australian Football League (AFL).
  • B. Lions
    The Lions are the athletic teams representing Columbia University, most notably its men's basketball program competing in NCAA Division I.
  • C. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • D. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • E. Tigers
    Tigers is the nickname of the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region and one of Nippon Professional Baseball’s most storied franchises.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1961b888190bda38ba301ddc51d completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32514c2f48190b20b8975c96d32a7 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:12 p.m.