Triple
T17151797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerry family |
E416238
|
entity |
| Predicate | hasPoliticalGenerationCount |
P126312
|
FINISHED |
| Object | multiple generations |
—
|
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: multiple generations | Statement: [Kerry family, hasPoliticalGenerationCount, multiple generations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalGenerationCount Context triple: [Kerry family, hasPoliticalGenerationCount, multiple generations]
-
A.
hasPoliticalComposition
Indicates that an entity has a particular political makeup or distribution of political affiliations, parties, or ideologies.
-
B.
hasNumberOfMPs
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
C.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
D.
hasNumberOfParties
Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
-
E.
hasElectors
Indicates that an entity is associated with one or more electors who have the authority to vote or make a selection on its behalf.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40775848190ada44742c0113ab3 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.