Triple
T24677527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Clinton–Paula Jones scandal |
E611029
|
entity |
| Predicate | allegedIncidentContext |
P74497
|
FINISHED |
| Object | Bill Clinton was Governor of Arkansas |
—
|
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 was Governor of Arkansas | Statement: [Bill Clinton–Paula Jones scandal, allegedIncidentContext, Bill Clinton was Governor of Arkansas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedIncidentContext Context triple: [Bill Clinton–Paula Jones scandal, allegedIncidentContext, Bill Clinton was Governor of Arkansas]
-
A.
allegedHarassmentContext
chosen
Indicates the situational or circumstantial context in which an alleged act of harassment is claimed to have occurred.
-
B.
accusationContext
Indicates the situational or conversational setting in which an accusation is made, such as its background, circumstances, or framing.
-
C.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
D.
incidentName
Indicates the specific name or label assigned to an incident within a system or context.
-
E.
arrestContext
Indicates that an arrest event occurs within a particular situational, legal, or environmental context that frames how and why the arrest takes place.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 3:06 a.m.