Triple
T4217961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibbets |
E94266
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Tibbetts |
E420957
|
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: Tibbetts | Statement: [Tibbets, hasSpellingVariant, Tibbetts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibbetts Context triple: [Tibbets, hasSpellingVariant, Tibbetts]
-
A.
Tibbetts
chosen
Tibbetts is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
B.
Tibbett
Tibbett is a surname of English origin borne by various notable individuals in fields such as music, sports, and the arts.
-
C.
Tubbs
Tubbs is the surname of Rallo Tubbs, a young animated character from the television series "The Cleveland Show."
-
D.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
E.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34beb470481909ceff19195417f19 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c70cfa6c819096992a9ea7e97801 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.