Triple
T34382154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Yoon-ok |
E882465
|
entity |
| Predicate | associatedWithPoliticalPartyViaSpouse |
P113365
|
FINISHED |
| Object | Grand National Party |
E467920
|
NE 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: Grand National Party | Statement: [Kim Yoon-ok, associatedWithPoliticalPartyViaSpouse, Grand National Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPoliticalPartyViaSpouse Context triple: [Kim Yoon-ok, associatedWithPoliticalPartyViaSpouse, Grand National Party]
-
A.
titleHolderSpousePoliticalParty
chosen
Indicates that the predicate links a title holder’s spouse to the political party with which that spouse is affiliated.
-
B.
spousePoliticalAlignment
Indicates that two individuals are spouses and specifies the political alignment or affiliation associated with that spousal relationship.
-
C.
associatedWithPoliticalPartyOfNameBearer
Indicates that an entity is connected or affiliated with the political party to which the referenced name bearer belongs.
-
D.
marriedToPolitician
Indicates that a person is married to someone who holds or has held a political office or role.
-
E.
spousePoliticalMovement
Indicates that the political movement is one with which the spouse of the subject is affiliated or identified.
- F. None of above.
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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3704b780b08190aa13911b16cdda38 |
completed | June 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.