Triple
T14610642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arturo Braga |
E342950
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Letty Ortiz |
E241104
|
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: Letty Ortiz | Statement: [Arturo Braga, enemyOf, Letty Ortiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letty Ortiz Context triple: [Arturo Braga, enemyOf, Letty Ortiz]
-
A.
Letty Ortiz
chosen
Letty Ortiz is a skilled street racer, mechanic, and key member of Dominic Toretto’s crew in the Fast & Furious film franchise.
-
B.
Letty Aronson
Letty Aronson is an American film producer best known for her long-running collaboration with director Woody Allen on numerous critically acclaimed movies.
-
C.
Angel Cruz
Angel Cruz is a central character in Stephen Adly Guirgis’s play "Jesus Hopped the 'A' Train," a young inmate grappling with guilt, faith, and moral responsibility while awaiting trial on Rikers Island.
-
D.
Rosa Diaz
Rosa Diaz is a tough, enigmatic, and fiercely loyal NYPD detective known for her deadpan humor and intimidating presence on the sitcom "Brooklyn Nine-Nine."
-
E.
Ricardo Montoya
Ricardo Montoya is a person notable enough to be recognized as a bearer of the surname Montoya, though specific widely known achievements or roles are not clearly established from this context.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.