Triple

T11713472
Position Surface form Disambiguated ID Type / Status
Subject Princesse Tam-Tam E278429 entity
Predicate musicBy P1952 FINISHED
Object Vincent Scotto E942067 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: Vincent Scotto | Statement: [Princesse Tam-Tam, musicBy, Vincent Scotto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Scotto
Context triple: [Princesse Tam-Tam, musicBy, Vincent Scotto]
  • A. Vincent Scotto chosen
    Vincent Scotto was a prolific French composer and songwriter best known for his popular songs and film scores in the early 20th century.
  • B. Vincent Savino
    Vincent Savino is a film producer known for his work on the critically acclaimed drama "Certain Women."
  • C. Vincent Lauria
    Vincent Lauria is the talented but cocky young pool hustler mentored by Paul Newman’s character in the film "The Color of Money."
  • D. Vincent Piazza
    Vincent Piazza is an American actor best known for his role as gangster Lucky Luciano on the HBO series "Boardwalk Empire."
  • E. Vincent Mangano
    Vincent Mangano was an early 20th-century New York Mafia boss who led what later became known as the Gambino crime family.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4be10088190854699385d1f6a95 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7307a8819095205ce5aa3e7abc completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:40 p.m.