Triple

T22836475
Position Surface form Disambiguated ID Type / Status
Subject Larry Micheaux E565960 entity
Predicate playedProfessionallyIn P33624 FINISHED
Object Israel 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: Israel | Statement: [Larry Micheaux, playedProfessionallyIn, Israel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Israel
Context triple: [Larry Micheaux, playedProfessionallyIn, Israel]
  • A. Israel
    Israel is a key patriarchal figure in the Hebrew Bible, regarded as the ancestor of the Israelites and the twelve tribes that bear his sons’ names.
  • B. Israel chosen
    Israel is a Middle Eastern country known for its significant historical and religious sites, advanced technology sector, and developed, high-income economy.
  • C. Palestina
    Palestina is a small municipality located in the Caldas Department of Colombia, known for its coffee production and proximity to the city of Manizales.
  • D. Palestina
    Palestina is a small town and rural parish located in the Guayas Province of coastal Ecuador.
  • E. Palestine
    Palestine is a historic region in Western Asia at the eastern end of the Mediterranean Sea, significant as a crossroads of civilizations and a central homeland in Jewish, Christian, and Islamic traditions.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2f09608190bc8e465e53b39e2e completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.