Triple
T22716364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Guy Thing |
E561742
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jeffrey 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: Jeffrey Silver | Statement: [A Guy Thing, producer, Jeffrey Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Silver Context triple: [A Guy Thing, producer, Jeffrey Silver]
-
A.
Jeffrey Silver
chosen
Jeffrey Silver is a film producer known for his work on major Hollywood movies, including the science fiction action film "Terminator Salvation."
-
B.
Josh Silver
Josh Silver is an American keyboardist and producer best known for his work with the gothic metal band Type O Negative.
-
C.
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."
-
D.
Jeffrey Silverstein
Jeffrey Silverstein is an American musician and songwriter known for his atmospheric, introspective indie and ambient folk recordings.
-
E.
Jeffrey Levine
Jeffrey Levine is a film producer known for his work on the comedy-drama movie "This Is Where I Leave You."
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790e14c88190af6acb27910ae9c1 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:19 p.m.