Triple

T10431818
Position Surface form Disambiguated ID Type / Status
Subject All Night E245931 entity
Predicate producer P490 FINISHED
Object Henry Allen E863848 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: Henry Allen | Statement: [All Night, producer, Henry Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Allen
Context triple: [All Night, producer, Henry Allen]
  • A. Henry Allen chosen
    Henry Allen is a writer best known for his work on the film "All Night."
  • B. Hal Caine
    Hal Caine is a fictional character known primarily as the husband of Charly Baltimore in the film "The Long Kiss Goodnight."
  • C. George Denbrough
    George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
  • D. Allan Scott
    Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
  • E. Allan Scott
    Allan Scott is a Scottish screenwriter and producer known for his work on films such as "The Preacher's Wife" and for co-creating the Netflix series "The Queen's Gambit."
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea63f03c81908331655241102725 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f98a2a0819093e029d940c59508 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:13 p.m.