Triple
T10886286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nechama Rivlin |
E257053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rivlin |
E246247
|
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: Rivlin | Statement: [Nechama Rivlin, familyName, Rivlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rivlin Context triple: [Nechama Rivlin, familyName, Rivlin]
-
A.
Rivlin
chosen
Rivlin is a Hebrew surname most prominently associated with Reuven Rivlin, the former President of Israel.
-
B.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
C.
Weinberger
Weinberger is a music publishing company known for issuing classical works, including compositions by major Romantic-era composers.
-
D.
Weinberger
Weinberger is a German-origin surname most notably associated with Caspar Weinberger, a former U.S. Secretary of Defense.
-
E.
Lipsett
Lipsett is a surname of English and Irish origin borne by various notable individuals across fields such as the military, politics, and the arts.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751dea1a88190b916879be8d74413 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ecf1c48190aef0d31ef03d1f88 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.