Triple
T26697127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Carville |
E673052
|
entity |
| Predicate | managedCampaignFor |
P4177
|
FINISHED |
| Object | Bill Clinton |
—
|
NE NERFINISHED |
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: Bill Clinton | Statement: [James Carville, managedCampaignFor, Bill Clinton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedCampaignFor Context triple: [James Carville, managedCampaignFor, Bill Clinton]
-
A.
plannedCampaign
Indicates that an entity has designed and scheduled a campaign to be executed in the future.
-
B.
associatedWithCampaigns
Indicates that an entity has a connection or linkage to one or more campaigns, such as participation, inclusion, or relevance to those campaigns.
-
C.
campaignManager
chosen
Indicates that one entity serves as the manager or coordinator responsible for planning, executing, and overseeing a campaign on behalf of another entity.
-
D.
supportedCampaignOf
Indicates that one entity actively backed, promoted, or provided assistance to the campaign associated with another entity.
-
E.
involvedCampaignAdvertising
Indicates that an entity participated in or contributed to the creation, distribution, or execution of campaign-related advertising activities.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 3:29 a.m.