Triple

T14990697
Position Surface form Disambiguated ID Type / Status
Subject Vega E373825 entity
Predicate hasNotableBearer P458 FINISHED
Object Alan Vega E752048 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: Alan Vega | Statement: [Vega, hasNotableBearer, Alan Vega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Vega
Context triple: [Vega, hasNotableBearer, Alan Vega]
  • A. Alan Vega chosen
    Alan Vega was an American vocalist, visual artist, and co-founder of the influential electronic proto-punk duo Suicide, known for his intense performances and pioneering minimalist sound.
  • B. Don Messick
    Don Messick was a prolific American voice actor best known for bringing to life numerous classic Hanna-Barbera cartoon characters, including Scooby-Doo, Boo-Boo Bear, and many others.
  • C. Anthony Bell
    Anthony Bell is a songwriter best known for co-writing the classic soul ballad "I'm Stone in Love with You," popularized by The Stylistics.
  • D. Michael Zager
    Michael Zager is an American record producer, composer, and arranger best known for his work in disco and pop music, including the hit "Let's All Chant."
  • E. Phil DeVille
    Phil DeVille is a mischievous, mud-loving baby boy and one of the main infant characters in the animated television series "Rugrats."
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded715db408190b44e8a8452c79764 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969683348190bb4688f24227af88 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.