Triple
T24726896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormy Daniels–Donald Trump scandal |
E618178
|
entity |
| Predicate | allegedAffairLocation |
P159376
|
FINISHED |
| Object | Lake Tahoe, Nevada |
—
|
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: Lake Tahoe, Nevada | Statement: [Stormy Daniels–Donald Trump scandal, allegedAffairLocation, Lake Tahoe, Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedAffairLocation Context triple: [Stormy Daniels–Donald Trump scandal, allegedAffairLocation, Lake Tahoe, Nevada]
-
A.
coupLocation
Indicates the place where a coup d'état occurs or is carried out.
-
B.
marriageLocation
Indicates the place where a marriage ceremony or legal union between two people took place.
-
C.
allegedLocationOfDuel
Indicates the place where a duel is claimed or reported to have occurred, without confirming that it actually took place there.
-
D.
betrothalOrMarriagePlace
Indicates the location where a betrothal or marriage event takes place.
-
E.
unveiledLocation
Indicates that an entity has revealed or made known the location of another entity or object.
- F. None of above. chosen
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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 3:59 a.m.