Triple
T11343716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Spano |
E268663
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Spano |
E268663
|
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: Joe Spano | Statement: [Joe Spano, name, Joe Spano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Spano Context triple: [Joe Spano, name, Joe Spano]
-
A.
Joe Spano
chosen
Joe Spano is an American actor best known for his Emmy-winning role as Detective Henry Goldblume on the television series "Hill Street Blues" and for recurring roles on shows like "NCIS."
-
B.
Mike Spano
Mike Spano is an American politician who has served as the mayor of Yonkers, New York, and is known for his long involvement in local and state government.
-
C.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
D.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
-
E.
Joe Rosario
Joe Rosario is an actor known for his role in the American sitcom "Archie Bunker's Place."
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1e360c8190a02d1e2d1d6f4b5d |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5435f4e288190b9b0029dc35bf2c5 |
completed | April 19, 2026, 9:04 p.m. |
Created at: April 8, 2026, 9:33 p.m.