Triple
T23705289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bishop |
E585701
|
entity |
| Predicate | hasSpokenPubliclyAbout |
P3281
|
FINISHED |
| Object | Grenadian Revolution |
—
|
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: Grenadian Revolution | Statement: [John Bishop, hasSpokenPubliclyAbout, Grenadian Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenPubliclyAbout Context triple: [John Bishop, hasSpokenPubliclyAbout, Grenadian Revolution]
-
A.
hasSpokenAbout
chosen
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
B.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
C.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
D.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than another entity.
-
E.
hasPublicFigure
Indicates that an entity is associated with or characterized by a specific public figure, such as a celebrity, politician, or other widely recognized individual.
- F. None of above.
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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b686ef50819090a85e3ed40cfba1 |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.