Triple
T21862360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Gould |
E539795
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gould |
—
|
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: Gould | Statement: [Chester Gould, familyName, Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gould Context triple: [Chester Gould, familyName, Gould]
-
A.
Gould
chosen
Gould is a surname most notably associated with Jay Gould, the influential 19th-century American railroad magnate and financier.
-
B.
Gouldman
Gouldman is the surname of Graham Gouldman, the English musician and songwriter best known as a founding member of the rock band 10cc.
-
C.
Goulding
Goulding is the surname of English singer and songwriter Ellie Goulding, known for her ethereal vocals and electronic pop music.
-
D.
Stigler
Stigler is a surname most prominently associated with George Stigler, the Nobel Prize–winning American economist known for his work on industrial organization and the economics of regulation.
-
E.
Gardner
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63beb00819092b8ec3a8ef55a39 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.