Triple

T4358689
Position Surface form Disambiguated ID Type / Status
Subject Rubin "Hurricane" Carter E98612 entity
Predicate givenName P17 FINISHED
Object Rubin E47058 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: Rubin | Statement: [Rubin "Hurricane" Carter, givenName, Rubin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubin
Context triple: [Rubin "Hurricane" Carter, givenName, Rubin]
  • A. Rubin chosen
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • B. Weiner
    Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
  • C. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • D. Barak
    Barak is a biblical military leader in the Book of Judges who, alongside the prophetess Deborah, led Israel to victory over the Canaanite commander Sisera.
  • E. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e1bfa48190bb506d9ca1ed7b6a completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbbcb6188190a8a4da6a080f0d61 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:16 p.m.