Triple
T7714724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakout Kings |
E174851
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Laz Alonso |
E432692
|
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: Laz Alonso | Statement: [Breakout Kings, leadActor, Laz Alonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laz Alonso Context triple: [Breakout Kings, leadActor, 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.
Alfonso Jordan
Alfonso Jordan was a 12th-century Count of Toulouse and prominent Occitan nobleman who played a significant role in the politics of southern France and the Crusader states.
-
C.
Alonso Vega
Alonso Vega was an individual notable enough to be interred at Mingorrubio Cemetery in Madrid, Spain.
-
D.
Josh Lopez
Josh Lopez is a writer associated with the work "American Boy."
-
E.
Nicholas Gonzalez
Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acd5e32c8190869834b21aeae8a7 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.