Triple
T21843366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tortilla Soup |
E539309
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Paul Rodriguez |
—
|
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: Paul Rodriguez | Statement: [Tortilla Soup, castMember, Paul Rodriguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Rodriguez Context triple: [Tortilla Soup, castMember, Paul Rodriguez]
-
A.
Paul Rodriguez
chosen
Paul Rodriguez is a Mexican-American stand-up comedian and actor known for his pioneering work in Latino comedy and numerous film and television roles since the 1980s.
-
B.
Javier Pulido
Javier Pulido is a Spanish comic book artist known for his clean, minimalist style and work on titles for major publishers like Marvel and DC.
-
C.
José Rodriguez
José Rodriguez is a supporting character in the Fifty Shades series, portrayed as Anastasia Steele’s friend and would-be suitor whose presence creates tension with Christian Grey.
-
D.
Paul Buentello
Paul Buentello is an American mixed martial artist and former UFC heavyweight contender known for his striking-focused fighting style.
-
E.
Ramiro Rodriguez
Ramiro Rodriguez is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.