Triple

T12618264
Position Surface form Disambiguated ID Type / Status
Subject Rosabella E301310 entity
Predicate hasRomanticRelationshipWith P9994 FINISHED
Object Tony (The Most Happy Fella) E60925 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: Tony (The Most Happy Fella) | Statement: [Rosabella, hasRomanticRelationshipWith, Tony (The Most Happy Fella)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony (The Most Happy Fella)
Context triple: [Rosabella, hasRomanticRelationshipWith, Tony (The Most Happy Fella)]
  • A. T.O.N.Y.
    "T.O.N.Y." is a soulful R&B track by Solange Knowles that explores themes of fleeting romance and emotional vulnerability.
  • B. The Most Happy Fella chosen
    The Most Happy Fella is a 1956 Broadway musical by Frank Loesser, known for its operatic score and romantic story set in California’s Napa Valley.
  • C. Broadway Joe
    Broadway Joe is the flamboyant Hall of Fame NFL quarterback Joe Namath, famed for his bold Super Bowl III guarantee and larger-than-life New York celebrity persona.
  • D. Broadway Bill
    Broadway Bill is a 1934 American comedy film, co-written by Robert Riskin and Frank Capra, about a businessman who risks everything to race his beloved horse.
  • E. Mr. Wonderful
    Mr. Wonderful is a 1993 romantic comedy film about a New York electrician who schemes to find a new husband for his ex-wife so he can afford his dream business.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed507988190b9d46586f3c3584c completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:13 p.m.