Triple

T14414934
Position Surface form Disambiguated ID Type / Status
Subject Daniel Brière E357424 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 Brière, givenName, Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel
Context triple: [Daniel Brière, givenName, Daniel]
  • A. Daniel
    Daniel is a prominent mountain peak in the Northern Limestone Alps of Germany, known for being the highest summit in the Ammergau Alps.
  • B. 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.
  • C. Daniel chosen
    Daniel is a masculine given name of Hebrew origin commonly used in many cultures and languages.
  • D. Jeru the Damaja
    Jeru the Damaja is a Brooklyn-born American rapper known for his socially conscious lyrics, complex wordplay, and influential work in 1990s East Coast hip hop.
  • E. 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."
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552a75ec8190b966d509d315ca60 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.