Triple

T20585792
Position Surface form Disambiguated ID Type / Status
Subject Panama Hattie E505782 entity
Predicate producer P490 FINISHED
Object Howard Young 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: Howard Young | Statement: [Panama Hattie, producer, Howard Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Young
Context triple: [Panama Hattie, producer, Howard Young]
  • A. Howard Young chosen
    Howard Young was a film producer best known for his work on the 1942 musical comedy "Panama Hattie."
  • B. Joe Young
    Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
  • C. Joe Young
    Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
  • D. Russell Young
    Russell Young is a British-American artist and former photographer known for his large-scale, diamond-dusted silkscreen portraits of pop culture icons.
  • E. Mal Young
    Mal Young is a British television producer and writer best known for his influential work on UK soap operas and dramas, including shaping long-running series such as EastEnders and Brookside.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a976bca4819086a4949e299159b5 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.