Triple
T3996236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like Water for Chocolate |
E87103
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | James Poyser |
E175261
|
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 Poyser | Statement: [Like Water for Chocolate, producer, James Poyser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Poyser Context triple: [Like Water for Chocolate, producer, James Poyser]
-
A.
James Poyser
chosen
James Poyser is a Grammy-winning British-born American keyboardist, songwriter, and producer best known for his work in neo-soul and hip-hop with artists like Erykah Badu, D’Angelo, and The Roots.
-
B.
Eric Powell
Eric Powell is a supporting character in the film "Julie & Julia," portrayed as Julie Powell’s husband who provides emotional support and grounding amid her ambitious cooking project.
-
C.
Ray Merrimen
Ray Merrimen is a disciplined, battle-hardened ex-Marine and mastermind leader of a crew of professional bank robbers in the crime film "Den of Thieves."
-
D.
Ronald Pugh
Ronald Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
-
E.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db6b01e48190a2e02597347f3348 |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 9, 2026, 3:34 p.m.