Triple

T13838749
Position Surface form Disambiguated ID Type / Status
Subject Girls Trip E332595 entity
Predicate producer P490 FINISHED
Object James Lopez E1061613 NE FINISHED

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: James Lopez | Statement: [Girls Trip, producer, James Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Lopez
Context triple: [Girls Trip, producer, James Lopez]
  • A. James Lopez chosen
    James Lopez is a film producer known for his work on contemporary Hollywood comedies and collaborations with major studios.
  • B. 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.
  • C. Frank Lopez
    Frank Lopez is a fictional Miami drug lord and early mentor-turned-rival to Tony Montana in the 1983 crime film "Scarface."
  • D. Nicholas Gonzalez
    Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
  • E. Matthew Saldivar
    Matthew Saldivar is an American stage actor best known for his work in Broadway musicals and plays.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c20e45c8190968a5d88a2b3fe37 completed May 8, 2026, 2:36 a.m.
Created at: April 9, 2026, 10:13 p.m.