Triple
T22023061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little (2019 film) |
E543889
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | James Lopez |
—
|
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: James Lopez | Statement: [Little (2019 film), producer, James Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Lopez Context triple: [Little (2019 film), 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.
Jose Lopez
Jose Lopez is an individual known primarily as the sibling of Fernando Lopez.
-
C.
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.
-
D.
Frank Lopez
Frank Lopez is a fictional Miami drug lord and early mentor-turned-rival to Tony Montana in the 1983 crime film "Scarface."
-
E.
Nicholas Gonzalez
Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.