Triple
T15649119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillett |
E376258
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Gillett(e) |
E376258
|
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: Gillett(e) | Statement: [Gillett, hasVariant, Gillett(e)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillett(e) Context triple: [Gillett, hasVariant, Gillett(e)]
-
A.
Gillett
chosen
Gillett is an English-language surname borne by various notable individuals across politics, sports, and the arts.
-
B.
Gilley
Gilley is the surname of American country music singer and pianist Mickey Gilley, known for his string of hits and his influential honky-tonk nightclub in Pasadena, Texas.
-
C.
Gillespie
Gillespie is a Scottish-origin surname most famously associated with American jazz trumpeter and composer Dizzy Gillespie.
-
D.
Gilliatt
Gilliatt is the solitary, resourceful fisherman and central hero of Victor Hugo’s novel *Les Travailleurs de la mer*, known for his epic struggle against the sea.
-
E.
Gilliland
Gilliland is a surname of English and Irish origin borne by various notable individuals across fields such as politics, science, and the arts.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67957ebc8190b187f557bd01d58d |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.