Triple
T13656585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Sinegal |
E326875
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Sinegal |
E326875
|
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: Sinegal | Statement: [James Sinegal, hasSurname, Sinegal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinegal Context triple: [James Sinegal, hasSurname, Sinegal]
-
A.
Sinegal
chosen
Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
-
B.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
C.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
-
D.
Singine
Singine is a river in western Switzerland that flows through the canton of Fribourg and serves as part of the linguistic boundary between French- and German-speaking regions.
-
E.
Sibhaca
Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b03083c8190855a2a4ee44e4098 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.