Triple

T23287507
Position Surface form Disambiguated ID Type / Status
Subject Salvatore Antonio Guaragna E589928 entity
Predicate usedPseudonym P3799 FINISHED
Object Harry Warren NE NERFINISHED

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: Harry Warren | Statement: [Salvatore Antonio Guaragna, usedPseudonym, Harry Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Warren
Context triple: [Salvatore Antonio Guaragna, usedPseudonym, Harry Warren]
  • A. Harry Warren chosen
    Harry Warren was a prolific American composer best known for his popular film and Broadway songs, including numerous Hollywood standards from the 1930s and 1940s.
  • B. Howard Lindsay
    Howard Lindsay was an American playwright, librettist, and actor best known for his prolific Broadway collaborations, including co-writing the book for the musical "The Sound of Music."
  • C. Roy Sharman
    Roy Sharman is a film editor known for his work on the 2003 adaptation of "I Capture the Castle."
  • D. Warren Alweather
    Warren Alweather is a fictional character associated with the work or universe featuring the character Paulie.
  • E. Jerry Wald
    Jerry Wald was an American film producer and screenwriter known for his influential work in Hollywood during the 1930s–1950s, including several acclaimed dramas and film noirs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19648842c81909756be4bc06b3a45 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 5 p.m.