Triple
T23191397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears on My Pillow |
E579744
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | George Goldner |
—
|
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: George Goldner | Statement: [Tears on My Pillow, producer, George Goldner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Goldner Context triple: [Tears on My Pillow, producer, George Goldner]
-
A.
George Goldner
chosen
George Goldner was an influential American record executive and producer known for founding several prominent independent labels that helped shape early rock and roll, doo-wop, and Latin music.
-
B.
Bernard Goldston
Bernard Goldston is an entrepreneur best known as the founder of the American off-price department store chain Marshalls.
-
C.
Stanley Goldstein
Stanley Goldstein is an American businessman best known as a co-founder and former leader of the CVS pharmacy chain, which grew into CVS Health.
-
D.
Gil Goldschein
Gil Goldschein is a television producer and media executive best known for his work on reality TV series, including projects in the Kardashian franchise.
-
E.
Henry M. Goldman
Henry M. Goldman was a prominent American dentist and academic leader recognized for his pioneering contributions to dental education and research.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.