Triple
T22459921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British administration of Java |
E555201
|
entity |
| Predicate | notableAdministrator |
P46184
|
FINISHED |
| Object | Gillespie |
—
|
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: Gillespie | Statement: [British administration of Java, notableAdministrator, Gillespie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillespie Context triple: [British administration of Java, notableAdministrator, Gillespie]
-
A.
Gillespie
chosen
Gillespie is a Scottish-origin surname most famously associated with American jazz trumpeter and composer Dizzy Gillespie.
-
B.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
-
C.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
-
D.
John Gillespie
John Gillespie is the husband of American journalist and author Susan Orlean.
-
E.
Grierson
Grierson is a Scottish-origin surname borne by various notable figures, including scholars, politicians, and artists.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7eb5688190bd5e41d4d8189668 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.