Triple
T9579064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyline |
E231121
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | David Zayas |
E577735
|
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: David Zayas | Statement: [Skyline, starring, David Zayas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Zayas Context triple: [Skyline, starring, David Zayas]
-
A.
David Zayas
chosen
David Zayas is a Puerto Rican-American actor best known for playing Detective Angel Batista on the television series "Dexter."
-
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.
Jaime Pressly
Jaime Pressly is an American actress and model best known for her Emmy-winning role as Joy Turner on the television sitcom "My Name Is Earl."
-
D.
Jorge Garcia
Jorge Garcia is an American actor and comedian best known for his role as Hugo "Hurley" Reyes on the television series Lost.
-
E.
Jaime Camil
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."
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:05 p.m.