Triple

T10431811
Position Surface form Disambiguated ID Type / Status
Subject All Night E245931 entity
Predicate writer P1360 FINISHED
Object Henry Allen
Henry Allen is a writer best known for his work on the film "All Night."
E863848 NE FINISHED

How this triple was built (4 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, writer, Henry Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Allen
Context triple: [All Night, writer, Henry Allen]
  • A. Hal Caine
    Hal Caine is a fictional character known primarily as the husband of Charly Baltimore in the film "The Long Kiss Goodnight."
  • B. 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.
  • C. 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.
  • D. 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."
  • E. Henry Lucas
    Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Henry Allen
Triple: [All Night, writer, Henry Allen]
Generated description
Henry Allen is a writer best known for his work on the film "All Night."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henry Allen
Target entity description: Henry Allen is a writer best known for his work on the film "All Night."
  • A. Hal Caine
    Hal Caine is a fictional character known primarily as the husband of Charly Baltimore in the film "The Long Kiss Goodnight."
  • B. 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.
  • C. 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.
  • D. 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."
  • E. Henry Lucas
    Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
  • F. None of above. chosen

Provenance (5 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_69d87eb068bc8190be9c7c916850278e completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d889c45b588190ad103b4bc8cc5fbd completed April 10, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69d88dbbe97c8190861e08f3ff39f91b completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:13 p.m.