Triple
T24677525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Clinton–Paula Jones scandal |
E611029
|
entity |
| Predicate | allegedIncidentVenue |
P49732
|
FINISHED |
| Object | Excelsior Hotel |
—
|
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: Excelsior Hotel | Statement: [Bill Clinton–Paula Jones scandal, allegedIncidentVenue, Excelsior Hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedIncidentVenue Context triple: [Bill Clinton–Paula Jones scandal, allegedIncidentVenue, Excelsior Hotel]
-
A.
locationOfEventDescribed
chosen
Indicates that one entity is the place or setting where the event described by another entity occurs.
-
B.
stateOfIncident
Indicates the specific condition or status that an incident is currently in within its lifecycle.
-
C.
formerVenueLocation
Indicates that a location previously served as the venue for an entity or event but no longer does so.
-
D.
siteOfAccident
Indicates the location where an accident occurred.
-
E.
allegedShooterLocation
Indicates the place where a person is claimed or reported to have carried out a shooting.
- 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_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 3:06 a.m.