Triple
T23174244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Che |
E578950
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Benicio del Toro |
—
|
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: Benicio del Toro | Statement: [Che, producer, Benicio del Toro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benicio del Toro Context triple: [Che, producer, Benicio del Toro]
-
A.
Benicio del Toro
chosen
Benicio del Toro is an acclaimed Puerto Rican actor known for his intense, brooding performances in films such as "Traffic," "The Usual Suspects," and "Sicario."
-
B.
Andy García
Andy García is a Cuban-American actor and director renowned for his roles in films such as "The Godfather Part III," "Ocean's Eleven," and "The Untouchables."
-
C.
Jeremy Bronson
Jeremy Bronson is a television writer and producer best known for creating the political comedy series "The Mayor."
-
D.
Joaquin Phoenix
Joaquin Phoenix is an acclaimed American actor known for his intense, transformative performances in films such as "Joker," "Walk the Line," and "The Master."
-
E.
Philip Seymour Hoffman
Philip Seymour Hoffman was an acclaimed American actor known for his intense, character-driven performances in films such as "Capote," "The Master," and "Synecdoche, New York."
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f69cb1881909e0f47d3b32e2cb1 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.