Triple
T22820043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Alejandro |
E565201
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kevin Alejandro |
—
|
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: Kevin Alejandro | Statement: [Kevin Alejandro, name, Kevin Alejandro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Alejandro Context triple: [Kevin Alejandro, name, Kevin Alejandro]
-
A.
Kevin Alejandro
chosen
Kevin Alejandro is an American actor known for his roles in television series such as Southland, True Blood, and Lucifer.
-
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.
Jorge Garcia
Jorge Garcia is an American actor and comedian best known for his role as Hugo "Hurley" Reyes on the television series Lost.
-
D.
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.
-
E.
Josh Lopez
Josh Lopez is a writer associated with the work "American Boy."
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcf39a88190bec26affc304236d |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.