Triple

T14019127
Position Surface form Disambiguated ID Type / Status
Subject Tommy Roe E337279 entity
Predicate hasNotableSingle P3283 FINISHED
Object Hooray for Hazel E1076329 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: Hooray for Hazel | Statement: [Tommy Roe, hasNotableSingle, Hooray for Hazel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hooray for Hazel
Context triple: [Tommy Roe, hasNotableSingle, Hooray for Hazel]
  • A. Hooray for Hazel chosen
    "Hooray for Hazel" is a 1966 pop song by American singer Tommy Roe that became one of his hit singles during the mid-1960s.
  • B. Young Hare
    Young Hare is a highly detailed and lifelike watercolor and gouache study of a hare created by German Renaissance artist Albrecht Dürer in 1502.
  • C. Hooray for Tom
    "Hooray for Tom" is a song featured on the album "October Road" by American singer-songwriter James Taylor.
  • D. The Brown Bunny
    The Brown Bunny is a 2003 independent road drama film written, directed by, and starring Vincent Gallo, notorious for its explicit content and polarizing reception at the Cannes Film Festival.
  • E. The Man with the Yellow Hat
    The Man with the Yellow Hat is the kind, patient caretaker and friend of Curious George in the classic children's book and television series.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb655bb34819097fe88ba76464be8 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:19 p.m.