Triple

T2120425
Position Surface form Disambiguated ID Type / Status
Subject Counterpoint E43907 entity
Predicate screenwriter P2831 FINISHED
Object James Lee
James Lee is a screenwriter known for his work on the film "Counterpoint."
 E235472 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: James Lee | Statement: [Counterpoint, screenwriter, James Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James Lee
Context triple: [Counterpoint, screenwriter, James Lee]
  • A. Mark Pellington
    Mark Pellington is an American film and music video director known for his visually striking, emotionally intense work on projects such as U2’s “One” and the film “Arlington Road.”
  • B. Michael Ealy
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • C. Timothy Black
    Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • D. Jeffrey Dean
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • E. Jonathan Tucker
    Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
  • 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: James Lee
Triple: [Counterpoint, screenwriter, James Lee]
Generated description
James Lee is a screenwriter known for his work on the film "Counterpoint."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James Lee
Target entity description: James Lee is a screenwriter known for his work on the film "Counterpoint."
  • A. Mark Pellington
    Mark Pellington is an American film and music video director known for his visually striking, emotionally intense work on projects such as U2’s “One” and the film “Arlington Road.”
  • B. Michael Ealy
    Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
  • C. Timothy Black
    Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • D. Jeffrey Dean
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • E. Jonathan Tucker
    Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb3404348190bc843022fbd2b4d0 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae307c63688190905c6d24743f9117 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae30f9d0448190a0b3251676d9825d completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae316491c88190a9aa5ef47766b1f8 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:44 p.m.