Triple
T19632392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillian Wearing |
E471302
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wearing |
—
|
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: Wearing | Statement: [Gillian Wearing, familyName, Wearing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wearing Context triple: [Gillian Wearing, familyName, Wearing]
-
A.
Wearing
chosen
Wearing is a surname most prominently associated with British conceptual artist and photographer Gillian Wearing.
-
B.
Outfit
"Outfit" is a reflective Southern rock song by Drive-By Truckers, written by Jason Isbell and known for its heartfelt advice-from-father-to-son narrative.
-
C.
Outfit
Outfit is a common nickname for the Chicago Outfit, a powerful Italian-American organized crime syndicate historically based in Chicago.
-
D.
Woll
Woll is a surname most notably borne by American actress Deborah Ann Woll, known for her roles in series like "True Blood" and "Daredevil."
-
E.
Pant
Pant is an Indian surname traditionally associated with Brahmin communities, particularly in the Himalayan regions of Uttarakhand and Nepal.
- 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_69e6410449ec8190b8c20c0e09cd9156 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.