Triple
T18081181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laz Alonso |
E432692
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Laz Alonso |
—
|
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: Laz Alonso | Statement: [Laz Alonso, name, Laz Alonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laz Alonso Context triple: [Laz Alonso, name, Laz Alonso]
-
A.
Laz Alonso
chosen
Laz Alonso is an American actor known for his roles in films like "Avatar" and the TV series "The Boys."
-
B.
Kristian Alfonso
Kristian Alfonso is an American actress and former figure skater best known for her long-running role as Hope Williams Brady on the soap opera "Days of Our Lives."
-
C.
Luke Alvez
Luke Alvez is a former Army Ranger and FBI agent who joins the Behavioral Analysis Unit as a main profiler in the television series "Criminal Minds."
-
D.
Lohan Anderson
Lohan Anderson is an architecture firm associated with architect Dirk Lohan, known for its contemporary design work.
-
E.
Alex Fernandez
Alex Fernandez is an American actor known for his numerous television roles, including a supporting part in the crime drama series "Killer Women."
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fa080081909e1a05e98185a026 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.