Triple
T32905239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Lubbock |
E841717
|
entity |
| Predicate | electoralUpset |
P7692
|
FINISHED |
| Object | defeating the Conservative Party in Orpington in 1962 |
—
|
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: defeating the Conservative Party in Orpington in 1962 | Statement: [Eric Lubbock, electoralUpset, defeating the Conservative Party in Orpington in 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralUpset Context triple: [Eric Lubbock, electoralUpset, defeating the Conservative Party in Orpington in 1962]
-
A.
electoralSuccess
chosen
Indicates that an entity has achieved a favorable or winning outcome in an election or electoral process.
-
B.
electoralRise
Indicates a change in a political actor’s electoral support or success, typically reflecting an increase in votes, seats, or popularity over time.
-
C.
influencedElection
Indicates that one entity affected or altered the outcome or course of an election involving another entity.
-
D.
lostPresidentialElection
Indicates that a candidate participated in a presidential election and was defeated rather than elected president.
-
E.
politicalOutcome
Indicates the result or consequence of a political process, decision, event, or interaction.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 1, 2026, 1:19 a.m.