Triple
T15954265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Kwedar |
E386893
|
entity |
| Predicate | coWriterOf |
P2389
|
FINISHED |
| Object | Sing Sing |
E384554
|
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: Sing Sing | Statement: [Greg Kwedar, coWriterOf, Sing Sing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sing Sing Context triple: [Greg Kwedar, coWriterOf, Sing Sing]
-
A.
Sing Sing
chosen
Sing Sing is a notorious maximum-security prison in Ossining, New York, long known for housing dangerous criminals and for its historical use of the electric chair.
-
B.
Sing, Sing, Sing
"Sing, Sing, Sing" is a landmark big band jazz and swing composition, famously associated with Benny Goodman and celebrated for its driving rhythm and extended drum and clarinet solos.
-
C.
Sing It
"Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
-
D.
Sing It!
Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
-
E.
Hop Sing
Hop Sing is the loyal and hardworking Chinese cook for the Cartwright family on the classic American Western television series "Bonanza."
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f810148190ab4989a0e4a5f8c0 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf16b1b881909768d18b889260da |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:53 a.m.