Triple

T13694683
Position Surface form Disambiguated ID Type / Status
Subject What Men Want E328353 entity
Predicate producer P490 FINISHED
Object James Lopez
James Lopez is a film producer known for his work on contemporary Hollywood comedies and collaborations with major studios.
E1061613 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 Lopez | Statement: [What Men Want, producer, James Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Lopez
Context triple: [What Men Want, producer, James Lopez]
  • A. James Ramirez
    James Ramirez is the silent playable U.S. Army Ranger protagonist in the 2009 first-person shooter video game Call of Duty: Modern Warfare 2.
  • B. Frank Lopez
    Frank Lopez is a fictional Miami drug lord and early mentor-turned-rival to Tony Montana in the 1983 crime film "Scarface."
  • C. Nicholas Gonzalez
    Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
  • D. Matthew Saldivar
    Matthew Saldivar is an American stage actor best known for his work in Broadway musicals and plays.
  • E. Tomas Lopez
    Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
  • 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 Lopez
Triple: [What Men Want, producer, James Lopez]
Generated description
James Lopez is a film producer known for his work on contemporary Hollywood comedies and collaborations with major studios.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Lopez
Target entity description: James Lopez is a film producer known for his work on contemporary Hollywood comedies and collaborations with major studios.
  • A. James Ramirez
    James Ramirez is the silent playable U.S. Army Ranger protagonist in the 2009 first-person shooter video game Call of Duty: Modern Warfare 2.
  • B. Frank Lopez
    Frank Lopez is a fictional Miami drug lord and early mentor-turned-rival to Tony Montana in the 1983 crime film "Scarface."
  • C. Nicholas Gonzalez
    Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
  • D. Matthew Saldivar
    Matthew Saldivar is an American stage actor best known for his work in Broadway musicals and plays.
  • E. Tomas Lopez
    Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b063661481908da569084c20f37c completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b138158c8190957d43d529c37fa4 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b1e0ab948190a046a68aa5e029a6 completed May 3, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:54 p.m.