Triple

T11694021
Position Surface form Disambiguated ID Type / Status
Subject Gold Diggers of 1935 E277943 entity
Predicate stars P1956 FINISHED
Object Hugh Herbert E104619 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: Hugh Herbert | Statement: [Gold Diggers of 1935, stars, Hugh Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Herbert
Context triple: [Gold Diggers of 1935, stars, Hugh Herbert]
  • A. Hugh Herbert chosen
    Hugh Herbert was an American comedian, character actor, and screenwriter best known for his eccentric, fluttery persona in 1930s and 1940s Hollywood films.
  • B. Herbert Burns
    Herbert Burns is a Brazilian mixed martial artist and Brazilian jiu-jitsu specialist who has competed in major promotions such as the UFC.
  • C. Charles Herbert
    Charles Herbert was an American child actor best known for his prolific film and television work in the late 1950s and early 1960s.
  • D. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • E. Joseph Howard
    Joseph Howard is the screenwriter best known for writing the hit 1992 comedy film "Sister Act."
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1461b2f0819091ef2a0627ffe5f5 completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.