Triple

T2116743
Position Surface form Disambiguated ID Type / Status
Subject Easter Parade E43825 entity
Predicate starring P1507 FINISHED
Object Jules Munshin E205148 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: Jules Munshin | Statement: [Easter Parade, starring, Jules Munshin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jules Munshin
Context triple: [Easter Parade, starring, Jules Munshin]
  • A. Jules Munshin chosen
    Jules Munshin was an American comic actor and singer best known for his energetic musical-comedy roles in mid-20th-century Hollywood films and on Broadway.
  • B. William Barfée
    William Barfée is a socially awkward, allergy-prone spelling prodigy known for his “magic foot” spelling technique in the musical comedy *The 25th Annual Putnam County Spelling Bee*.
  • C. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • D. Lucien Ballard
    Lucien Ballard was an American cinematographer renowned for his innovative lighting techniques and influential work on numerous Hollywood films from the 1930s through the 1970s.
  • E. Paul Seydor
    Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2dfd3c81909b5e2996bc324301 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3078c0688190aefe179c5572721d completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.