Triple

T505443
Position Surface form Disambiguated ID Type / Status
Subject The Prince and the Pauper (1937 film) E10493 entity
Predicate screenwriter P2831 FINISHED
Object Laird Doyle
Laird Doyle was an American screenwriter active in early Hollywood, known for adapting literary works for the screen.
E134395 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: Laird Doyle | Statement: [The Prince and the Pauper (1937 film), screenwriter, Laird Doyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laird Doyle
Context triple: [The Prince and the Pauper (1937 film), screenwriter, Laird Doyle]
  • A. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • B. Hugh Frayne
    Hugh Frayne was an American labor leader and union official who played a significant role in coordinating labor relations and production during World War I.
  • C. Garth Stevenson
    Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
  • D. Rob McKenna
    Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
  • E. Rob McKenna
    Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
  • 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: Laird Doyle
Triple: [The Prince and the Pauper (1937 film), screenwriter, Laird Doyle]
Generated description
Laird Doyle was an American screenwriter active in early Hollywood, known for adapting literary works for the screen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laird Doyle
Target entity description: Laird Doyle was an American screenwriter active in early Hollywood, known for adapting literary works for the screen.
  • A. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • B. Hugh Frayne
    Hugh Frayne was an American labor leader and union official who played a significant role in coordinating labor relations and production during World War I.
  • C. Garth Stevenson
    Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
  • D. Rob McKenna
    Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
  • E. Rob McKenna
    Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14b2acc8190818e8a53eac69c54 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6ef6be388190b4a8da5795a19aaf completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6fb8bd148190b488dfb9f29438e6 completed March 7, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac6feadf7c8190918fc0c606df10d5 completed March 7, 2026, 6:35 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.