Triple
T21358698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Adair |
E526707
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bernie |
—
|
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: Bernie | Statement: [Sandra Adair, notableWork, Bernie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernie Context triple: [Sandra Adair, notableWork, Bernie]
-
A.
Bernie
Bernie is a common diminutive form of the given name Bernard, often used as a familiar or informal nickname.
-
B.
Bernie
Bernie was the official cartoon rabbit mascot created to represent and promote the UEFA Euro 1988 football tournament in West Germany.
-
C.
Bernie
chosen
"Bernie" is a dark comedy film by Richard Linklater, based on a true story about a beloved small-town mortician whose unlikely crime shocks his Texas community.
-
D.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
E.
Bernie Sanders
Bernie Sanders is a longtime U.S. senator from Vermont and prominent progressive politician known for championing democratic socialism, economic equality, and universal healthcare.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa3924c8190b3decbfda4a2aecf |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.