Triple
T13499992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Micklin Silver |
E320859
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Raphael D. Silver |
E1045123
|
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: Raphael D. Silver | Statement: [Joan Micklin Silver, collaboratedWith, Raphael D. Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raphael D. Silver Context triple: [Joan Micklin Silver, collaboratedWith, Raphael D. Silver]
-
A.
Raphael D. Silver
chosen
Raphael D. Silver was an American film producer and real estate developer, best known for producing several independent films directed by his wife, Joan Micklin Silver.
-
B.
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
C.
Rafael Banquells
Rafael Banquells was a Cuban-born Mexican actor and director known for his work in classic Mexican cinema and television.
-
D.
Mr. Ferres
Mr. Ferres is a fictional character known primarily as the husband of Maria Ferres in literary works.
-
E.
John D'Arco
John D'Arco is a screenwriter best known for penning the action-comedy film "Barely Lethal."
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d8e69a08190b74f1fecb07dd6e9 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.