Triple

T10599935
Position Surface form Disambiguated ID Type / Status
Subject Rudy Ruettiger E275715 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: [Rudy Ruettiger, givenName, Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel
Context triple: [Rudy Ruettiger, givenName, Daniel]
  • A. Daniel chosen
    Daniel is a masculine given name of Hebrew origin commonly used in many cultures and languages.
  • 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. 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.
  • D. Adam
    Adam is a loyal, elderly servant in William Shakespeare’s comedy "As You Like It," known for his devotion and generosity toward Orlando.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded45a3c81908cca736bf360e2f2 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e9c1a7c8190a91ad479518e411f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:30 p.m.