Triple

T18615289
Position Surface form Disambiguated ID Type / Status
Subject "Papa Loves Mambo" E455004 entity
Predicate composer P1361 FINISHED
Object Al Hoffman 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: Al Hoffman | Statement: ["Papa Loves Mambo", composer, Al Hoffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Hoffman
Context triple: ["Papa Loves Mambo", composer, Al Hoffman]
  • A. Al Hoffman chosen
    Al Hoffman was a prolific American songwriter best known for co-writing numerous popular standards and classic Disney songs in the mid-20th century.
  • B. Sam Hoffman
    Sam Hoffman was a prominent landowner and developer whose contributions to the area led to the Chicago suburb of Hoffman Estates, Illinois, being named in his honor.
  • C. Rob Hoffman
    Rob Hoffman is a music producer best known for his work in hip-hop and R&B, including collaborations with prominent artists in the genre.
  • D. Thomas Hoffman
    Thomas Hoffman is a relatively obscure individual whose name is shared with several people across different professions, making it difficult to attribute a single widely recognized identity to him.
  • E. Robert Hoffman
    Robert Hoffman is an American actor, dancer, and choreographer best known for his roles in films like "Step Up 2: The Streets" and various dance-focused performances.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d04bdc48190b0213132923a7580 completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.