Triple
T13610242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverman |
E325168
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Silberman |
E734916
|
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: Silberman | Statement: [Silverman, hasVariant, Silberman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silberman Context triple: [Silverman, hasVariant, Silberman]
-
A.
Silberman
chosen
Silberman is a surname of likely Germanic or Jewish origin borne by various notable individuals, including jurists, artists, and public figures.
-
B.
Tamir
Tamir is a fictional character from the satirical comedy film "The Dictator," which stars Sacha Baron Cohen as a despotic North African leader.
-
C.
Sigal
Sigal was an ancient city that served as the political and administrative center of the Indo-Parthian kingdom in South Asia.
-
D.
Zylberman
Zylberman is a surname of likely Ashkenazi Jewish origin borne by individuals such as Bathsheba Zylberman.
-
E.
Sigel
Sigel is a surname most notably associated with American cinematographer Newton Thomas Sigel, known for his work on major Hollywood films.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.