Triple

T20339408
Position Surface form Disambiguated ID Type / Status
Subject Algiers (1938 film) E495699 entity
Predicate screenwriter P2831 FINISHED
Object John Howard Lawson 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: John Howard Lawson | Statement: [Algiers (1938 film), screenwriter, John Howard Lawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Howard Lawson
Context triple: [Algiers (1938 film), screenwriter, John Howard Lawson]
  • A. John Howard Lawson chosen
    John Howard Lawson was an American playwright, screenwriter, and prominent member of the Hollywood Ten who was blacklisted during the McCarthy era for his political beliefs.
  • B. Floyd Dell
    Floyd Dell was an American writer, critic, and prominent figure in early 20th-century literary radicalism and bohemian culture.
  • C. Ward Bond
    Ward Bond was an American character actor best known for his prolific work in classic Hollywood films and the television series "Wagon Train."
  • D. Mike Gold
    Mike Gold is a central character in the television series "The War at Home," portrayed as a sarcastic, often exasperated suburban father navigating the challenges of raising his family.
  • E. Fritz Lanman
    Fritz Lanman is an American technology executive and investor known for his leadership roles at companies like ClassPass and his early investment in and involvement with startups such as Square.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678342a0081908ede8006eb5506a3 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.