Triple

T1501835
Position Surface form Disambiguated ID Type / Status
Subject Al Michaels E33813 entity
Predicate familyName P18 FINISHED
Object Michaels E43689 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: Michaels | Statement: [Al Michaels, familyName, Michaels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michaels
Context triple: [Al Michaels, familyName, Michaels]
  • A. Michaels chosen
    Michaels is the surname of Lorne Michaels, the influential Canadian-American television producer and creator of "Saturday Night Live."
  • B. Macy's
    Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
  • C. J. C. Penney
    J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
  • D. TK Maxx
    TK Maxx is a major off-price retail chain in the UK and Europe, offering discounted brand-name clothing, homeware, and accessories.
  • E. Montgomery Ward
    Montgomery Ward was a pioneering American mail-order and department store retailer that became one of the largest and most influential retail chains in the United States in the late 19th and 20th centuries.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8872e41848190b35b37f32aef784f completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb3c5908190b3d5fe7a4dcaa234 completed March 8, 2026, 6:52 a.m.
Created at: March 4, 2026, 7:24 p.m.