Triple
T37764257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bromwich East |
E941369
|
entity |
| Predicate | TomWatsonRole |
P189015
|
FINISHED |
| Object | Deputy Leader of the Labour Party |
—
|
LITERAL 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: Deputy Leader of the Labour Party | Statement: [West Bromwich East, TomWatsonRole, Deputy Leader of the Labour Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TomWatsonRole Context triple: [West Bromwich East, TomWatsonRole, Deputy Leader of the Labour Party]
-
A.
WatsonRole
Indicates that one entity plays the role of an assistant, observer, or secondary participant (a “Watson” role) in relation to another primary entity.
-
B.
roleAtWorldCom
Indicates that an entity holds or held a specific role or position at the company WorldCom.
-
C.
formerCEO
Indicates that one entity previously held, but no longer holds, the position of chief executive officer of the other entity.
-
D.
roleOfAlCisneros
Indicates the specific role, position, or function that Al Cisneros holds or performs in a given context.
-
E.
coFounderWasCEOOf
Indicates that a person who co-founded an organization also served as its Chief Executive Officer (CEO) at some point.
- F. None of above. chosen
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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.