Triple

T2875797
Position Surface form Disambiguated ID Type / Status
Subject Daniel Webster E56874 entity
Predicate givenName P17 FINISHED
Object Daniel E110004 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: Daniel | Statement: [Daniel Webster, givenName, Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel
Context triple: [Daniel Webster, givenName, Daniel]
  • A. Daniel
    Daniel is a biblical book in the Old Testament that recounts the visions and experiences of the prophet Daniel, emphasizing themes of faithfulness and divine sovereignty.
  • B. Daniel chosen
    Daniel is a masculine given name of Hebrew origin commonly used in many cultures and languages.
  • C. Adam
    Adam is a reclusive, centuries-old vampire musician and one of the two melancholic immortal lovers at the center of Jim Jarmusch’s film "Only Lovers Left Alive."
  • D. Adam
    Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
  • E. Adam
    Adam is a renowned sculpture by Auguste Rodin, notable for its expressive depiction of the biblical figure and housed in the Rodin Museum.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0061d048190bb1e5a01e7ceb0e2 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01dbb28588190ba2daae192744908 completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.