Triple
T20284544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly Sills |
E509842
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Silverman |
—
|
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: Silverman | Statement: [Beverly Sills, familyName, Silverman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverman Context triple: [Beverly Sills, familyName, Silverman]
-
A.
Silverman
chosen
Silverman is a surname most prominently associated with American comedian, actress, and writer Sarah Silverman.
-
B.
Silverstein
Silverstein is a surname most famously associated with Shel Silverstein, the American poet, songwriter, and author of beloved children's books such as "The Giving Tree."
-
C.
Steinman
Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
-
D.
Silbermann
Silbermann is a German-language surname borne by various notable individuals, often associated with Central European heritage and culture.
-
E.
Silverberg
Silverberg is a surname most notably associated with American science fiction author Robert Silverberg.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67691516c81909f32b176edb6214c |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:05 a.m.