Triple
T2352085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tate |
E47469
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tate |
E86288
|
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: Tate | Statement: [John Tate, familyName, Tate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tate Context triple: [John Tate, familyName, Tate]
-
A.
Tate
chosen
Tate is a UK-based art institution and network of galleries that houses and promotes the national collection of British art and significant international modern and contemporary works.
-
B.
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.
-
C.
Artis Mills
Artis Mills is best known as the longtime husband of legendary American singer Etta James.
-
D.
Turner
Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
-
E.
Tubbs
Tubbs is the surname of Rallo Tubbs, a young animated character from the television series "The Cleveland Show."
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f8ff548190b07505310e2bf0b9 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9631c9a481909a3051ac06afdca7 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:54 p.m.