Triple

T815645
Position Surface form Disambiguated ID Type / Status
Subject Ruby E17647 entity
Predicate alsoKnownAs P39 FINISHED
Object Matz E33651 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: Matz | Statement: [Ruby, alsoKnownAs, Matz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matz
Context triple: [Ruby, alsoKnownAs, Matz]
  • A. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • B. The Boss
    The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
  • C. The Boss
    The Boss was the domineering and famously hands-on principal owner of the New York Yankees, known for his aggressive management style and frequent managerial changes.
  • D. Taro chosen
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • E. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5157b08190b6c8f2fd455f261e completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8b0b0c8190a6226d6b8daade25 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.