Triple
T31516693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westbury Road Entertainment |
E804089
|
entity |
| Predicate | locationAssociatedWithFounder |
P55364
|
FINISHED |
| Object | Saint Michael, Barbados |
E85466
|
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: Saint Michael, Barbados | Statement: [Westbury Road Entertainment, locationAssociatedWithFounder, Saint Michael, Barbados]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationAssociatedWithFounder Context triple: [Westbury Road Entertainment, locationAssociatedWithFounder, Saint Michael, Barbados]
-
A.
founderBirthPlace
Indicates the place where the founder of an entity was born.
-
B.
foundingLocationOfFoundedOrganization
chosen
Indicates the place where an organization was originally established or founded.
-
C.
headquartersLocationOfFoundedCompany
Indicates that a specific place serves as the headquarters location of a company that was founded there.
-
D.
occupationOfFounder
Indicates the professional role or job held by the founder of an entity.
-
E.
hasHeadquartersOfFoundedCompanyIn
Indicates that the headquarters of a company is located in a place where that company was originally founded.
- F. None of above.
Provenance (4 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01a23d8b148190ac2c8765aa9227c4 |
completed | May 11, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b147b5fc0819096ba354601105eed |
completed | June 11, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_6a01a1e8bb90819096647e929bfb3db8 |
completed | May 11, 2026, 9:31 a.m. |
Created at: April 30, 2026, 9:53 p.m.