Triple
T18251428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane the Virgin |
E437099
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jaime Camil |
—
|
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: Jaime Camil | Statement: [Jane the Virgin, castMember, Jaime Camil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaime Camil Context triple: [Jane the Virgin, castMember, Jaime Camil]
-
A.
Jaime Camil
chosen
Jaime Camil is a Mexican actor and singer best known internationally for his comedic and charismatic roles in television series such as "Jane the Virgin."
-
B.
Jaime Carbonell
Jaime Carbonell was a prominent computer scientist and pioneer in machine learning and natural language processing, best known for founding the Language Technologies Institute at Carnegie Mellon University.
-
C.
Jonathan Salas
Jonathan Salas is a musician best known for his brief tenure as a guitarist with the Christian rock band Skillet.
-
D.
Kevin Alejandro
Kevin Alejandro is an American actor known for his roles in television series such as Southland, True Blood, and Lucifer.
-
E.
Gabriel Luna
Gabriel Luna is an American actor best known for roles in projects like Marvel’s Agents of S.H.I.E.L.D., Terminator: Dark Fate, and the HBO adaptation of The Last of Us.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8124648190ae7fc9f1fc5cf9bd |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.