Triple
T18056997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernadette Devlin |
E432063
|
entity |
| Predicate | ageAtFirstElectionToParliament |
P78179
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Bernadette Devlin, ageAtFirstElectionToParliament, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtFirstElectionToParliament Context triple: [Bernadette Devlin, ageAtFirstElectionToParliament, 21]
-
A.
ageAtElection
chosen
Indicates the age a person was at the time they were elected to a particular office or position.
-
B.
ageAtFirstBecomingPrimeMinister
Indicates the age a person was when they first assumed the office of prime minister.
-
C.
minimumAgeOfLegislator
Indicates the minimum age requirement that an individual must meet to serve as a legislator.
-
D.
eligibilityAgeUpperHouse
Indicates the minimum age a person must have reached to be legally eligible to serve in the upper house of a legislature.
-
E.
ageLimitForElectors
Indicates that there is a specified minimum or maximum age requirement that individuals must meet in order to be eligible to serve as electors.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c103cedc819086a905269b118795 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.