Triple
T19631978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooling Towers series |
E471292
|
entity |
| Predicate | inCollectionOf |
P426
|
FINISHED |
| Object | Tate |
—
|
NE NERFINISHED |
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: [Cooling Towers series, inCollectionOf, Tate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tate Context triple: [Cooling Towers series, inCollectionOf, 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.
Tate
Tate is a given name most commonly associated with the American actor and director Tate Donovan.
-
C.
Tate
Tate is a surname most famously associated with American actress and 1960s cultural icon Sharon Tate, whose tragic death made it widely known.
-
D.
TATE
TATE is the London Stock Exchange ticker symbol for Tate & Lyle, a British multinational agribusiness and food ingredients company.
-
E.
El Tate
El Tate is a popular nickname for Club Atlético Unión, a traditional Argentine football club based in Santa Fe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641036ee881909fdd8170fe4cdac9 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.