Triple
T14235184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Race to Witch Mountain |
E352858
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Matt Lopez |
E669906
|
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: Matt Lopez | Statement: [Race to Witch Mountain, screenwriter, Matt Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Lopez Context triple: [Race to Witch Mountain, screenwriter, Matt Lopez]
-
A.
Matt Lopez
chosen
Matt Lopez is an American screenwriter known for writing family-oriented films such as "Bedtime Stories" and other Hollywood studio projects.
-
B.
Matt Alvarez
Matt Alvarez is a film producer known for his work on various feature films, including the comedy "First Sunday."
-
C.
Daniel Lugo
Daniel Lugo is the ambitious, bodybuilding ringleader of the criminal scheme at the center of the dark comedy crime film "Pain & Gain."
-
D.
Brian Pimental
Brian Pimental is an American animator, storyboard artist, and director known for his work on several major Disney animated films, including contributing to the story of Beauty and the Beast.
-
E.
Matt Martinez
Matt Martinez is an American former Miami Hurricanes football player and firefighter best known as the ex-husband of supermodel Niki Taylor.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d77e8dc8190b90f3505960e549e |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:07 a.m.