Triple
T21955593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Silvers |
E542178
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Philip Silver |
—
|
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: Philip Silver | Statement: [Phil Silvers, birthName, Philip Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Silver Context triple: [Phil Silvers, birthName, Philip Silver]
-
A.
Philip Silver
chosen
Philip Silver was an American comedic actor and entertainer best known for his work in film, television, and on Broadway under the stage name Phil Silvers.
-
B.
William Shea
William Shea is an editor known for his work on the film "The Wedding March."
-
C.
Sam Tucker
Sam Tucker was an associate of American mobster and casino operator Moe Dalitz, likely involved in mid-20th-century organized crime or related business activities.
-
D.
Kyle Silverstein
Kyle Silverstein is an American actor best known for his roles in film and television, including appearances in projects like "The Walking Dead."
-
E.
Ned Plimpton
Ned Plimpton is a soft-spoken Kentucky airline pilot who may be the estranged son of oceanographer Steve Zissou in Wes Anderson’s film "The Life Aquatic with Steve Zissou."
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243f46dc819097e4a1849af7fba4 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.