Triple

T9753885
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Peña E236506 entity
Predicate notableWork P4 FINISHED
Object La Bamba E344176 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: La Bamba | Statement: [Elizabeth Peña, notableWork, La Bamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Bamba
Context triple: [Elizabeth Peña, notableWork, La Bamba]
  • A. La Bamba chosen
    "La Bamba" is a 1987 rock and roll biographical film about musician Ritchie Valens, featuring a hit title song cover by Los Lobos.
  • B. Bumba Da
    Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
  • C. Baba Wawa
    Baba Wawa is a famous comedic persona created by Gilda Radner on Saturday Night Live, parodying television journalist Barbara Walters with exaggerated speech and mannerisms.
  • D. Mulaney
    Mulaney is a short-lived semi-autobiographical sitcom created by and starring comedian John Mulaney.
  • E. Chiquitita
    "Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.