Triple
T34883431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1970 United States Senate campaign in Michigan |
E1006073
|
entity |
| Predicate | hasMajorPartyCandidates |
P40926
|
FINISHED |
| Object | Lenore Romney |
E307123
|
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: Lenore Romney | Statement: [1970 United States Senate campaign in Michigan, hasMajorPartyCandidates, Lenore Romney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorPartyCandidates Context triple: [1970 United States Senate campaign in Michigan, hasMajorPartyCandidates, Lenore Romney]
-
A.
hasMajorPartyCandidate
chosen
Indicates that an election, race, or contest includes at least one candidate representing a major political party.
-
B.
hasMajorParties
Indicates that an entity is associated with its primary participating parties or main involved groups.
-
C.
hadMajorDemocraticCandidates
Indicates that a political contest or election featured one or more major candidates from the Democratic Party.
-
D.
hasMinorParty
Indicates that an entity is associated with or includes a smaller, less dominant party within a broader political or organizational context.
-
E.
numberOfMajorCandidates
Indicates the count of major candidates associated with a given entity or event.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01d077dcec8190b05b24b5de313b15 |
completed | May 11, 2026, 12:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d93847108190bc44b92e7a7f9171 |
completed | June 21, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_6a01cea0e37881909cb6888518c6d12f |
completed | May 11, 2026, 12:42 p.m. |
Created at: May 3, 2026, 4 p.m.