Triple
T16141599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thâkîwaki |
E391669
|
entity |
| Predicate | associatedWithPeopleAlsoKnownAs |
P77482
|
FINISHED |
| Object | Sac |
E93064
|
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: Sac | Statement: [Thâkîwaki, associatedWithPeopleAlsoKnownAs, Sac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sac Context triple: [Thâkîwaki, associatedWithPeopleAlsoKnownAs, Sac]
-
A.
Sac
chosen
Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
-
B.
Sal
Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
-
C.
Sal
Sal is the enigmatic, visionary protagonist of Alan Garner’s novel "Thursbitch," whose life is intertwined with the landscape and folklore of a remote English valley.
-
D.
Sal
Sal is the given name of American actor and voice artist Sal Velez Jr., known for his roles in film, television, and video games.
-
E.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a087c848190aba9ed2ccb422427 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a59c0481908eb346efaf10a0f6 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.