Triple

T20383571
Position Surface form Disambiguated ID Type / Status
Subject Dames E497900 entity
Predicate stars P1956 FINISHED
Object Hugh Herbert 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: Hugh Herbert | Statement: [Dames, stars, Hugh Herbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Herbert
Context triple: [Dames, 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 (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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b2ceec819091ad5205ee9b2174 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.