Triple

T19744971
Position Surface form Disambiguated ID Type / Status
Subject Neil Young and Crazy Horse E474226 entity
Predicate hasMember P10 FINISHED
Object Ralph Molina E472213 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: Ralph Molina | Statement: [Neil Young and Crazy Horse, hasMember, Ralph Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Molina
Context triple: [Neil Young and Crazy Horse, hasMember, Ralph Molina]
  • A. Ralph Molina chosen
    Ralph Molina is an American drummer best known as a longtime member of Neil Young's backing band Crazy Horse.
  • B. Ronald dela Rosa
    Ronald dela Rosa is a Filipino politician and former chief of the Philippine National Police who became widely known for leading President Rodrigo Duterte’s controversial war on drugs.
  • C. Ralph DLG Torres
    Ralph DLG Torres is a Northern Mariana Islands politician who served as governor and previously as lieutenant governor of the U.S. Commonwealth.
  • D. Joe M. Aguilar
    Joe M. Aguilar is a film producer best known for his work on the animated feature "Puss in Boots."
  • E. Eduardo Mendoza
    Eduardo Mendoza is a renowned Spanish novelist celebrated for his humorous and satirical works, and regarded as one of the leading contemporary voices in Spanish literature.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e652923fd48190982c51c39814fd08 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b501e7348190bf2b14c98cd7cdb0 completed May 16, 2026, 12:06 a.m.
Created at: April 10, 2026, 1:47 p.m.