Triple

T6494272
Position Surface form Disambiguated ID Type / Status
Subject Jo Hayden E148115 entity
Predicate fictionalUniverse P3758 FINISHED
Object For Me and My Gal universe E23605 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: For Me and My Gal universe | Statement: [Jo Hayden, fictionalUniverse, For Me and My Gal universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: For Me and My Gal universe
Context triple: [Jo Hayden, fictionalUniverse, For Me and My Gal universe]
  • A. For Me and My Gal chosen
    For Me and My Gal is a 1942 American musical film, co-starring Judy Garland and Gene Kelly in his screen debut, about vaudeville performers whose careers and romance are affected by World War I.
  • B. G-Men
    G-Men is a popular nickname for the New York Giants, the professional American football team based in the New York metropolitan area.
  • C. Make Mine Music
    Make Mine Music is a 1946 Walt Disney animated musical anthology film composed of ten segments set to popular and classical music.
  • D. Gold Diggers of 1937
    Gold Diggers of 1937 is a Warner Bros. musical comedy film from Hollywood’s classic era, featuring lavish song-and-dance numbers and satirical takes on show business and wealth.
  • E. High Noon
    High Noon is a classic 1952 American Western film starring Gary Cooper as a lone marshal facing a vengeful outlaw as the townspeople abandon him.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab7c0b8819091437a293b40dfd2 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653c21f948190989da451bc573b4d completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:53 p.m.