Triple
T30610346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viscount Tonypandy |
E779161
|
entity |
| Predicate | titleHolderParty |
P72475
|
FINISHED |
| Object | Labour Party (UK) |
—
|
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: Labour Party (UK) | Statement: [Viscount Tonypandy, titleHolderParty, Labour Party (UK)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderParty Context triple: [Viscount Tonypandy, titleHolderParty, Labour Party (UK)]
-
A.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
-
B.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
C.
titleHolderSide
chosen
Indicates which side, party, or competitor currently holds a particular title in a contest, match, or competition.
-
D.
titleHolderFullName
Indicates the full personal name of the entity that holds a particular title or position.
-
E.
titleHolderCouldBe
Indicates that a particular entity is a possible or potential holder of a specified title or position.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: April 29, 2026, 8:26 p.m.