Triple
T12333572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy/Beautiful |
E294022
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Carlos Nuñez |
E926710
|
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: Carlos Nuñez | Statement: [Crazy/Beautiful, character, Carlos Nuñez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlos Nuñez Context triple: [Crazy/Beautiful, character, Carlos Nuñez]
-
A.
Carlos Nuñez
chosen
Carlos Nuñez is a fictional character portrayed by actor Jay Hernandez, best known from his role in the film "Crazy/Beautiful."
-
B.
Roberto Henríquez
Roberto Henríquez is an editor known for his work on the film "Brave."
-
C.
Carlos Lacámara
Carlos Lacámara is a Cuban-American actor and playwright best known for his numerous television roles, including a main role on the Disney XD series "Mighty Med."
-
D.
Sergio Reyes
Sergio Reyes is a music producer known for his work on the album "Standing in the Spotlight."
-
E.
Roberto Reyes
Roberto Reyes is a Marvel Comics character who becomes the supernatural antihero Ghost Rider, known for driving a flaming muscle car instead of the traditional motorcycle.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9383088190a0194cd0e666d11c |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 8, 2026, 9:53 p.m.