Triple
T16365998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Sanborn |
E397438
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sanborn |
E883535
|
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: Sanborn | Statement: [David Sanborn, familyName, Sanborn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanborn Context triple: [David Sanborn, familyName, Sanborn]
-
A.
Sanborn
chosen
Sanborn is a prominent recording artist known for his influential work in contemporary jazz and smooth jazz saxophone performance.
-
B.
Sanborns
Sanborns is a prominent Mexican retail and restaurant chain known for its department stores, cafés, and historic flagship locations.
-
C.
Marford
Marford is a village in Wrexham County Borough, Wales, known for its distinctive Gothic-style architecture and historic character.
-
D.
Wentworthe
Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
-
E.
Winslow
Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3c915c81909e1757fc31921876 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc0b3d4819089e6fba536ec8a11 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.