Triple
T6639227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana DeGarmo |
E150540
|
entity |
| Predicate | performedOnNationalTours |
P71876
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Diana DeGarmo, performedOnNationalTours, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedOnNationalTours Context triple: [Diana DeGarmo, performedOnNationalTours, true]
-
A.
performedOnTourWith
Indicates that one entity carried out a tour in conjunction with, or as part of, another entity’s tour.
-
B.
isFrequentlyPerformedOnTourBy
Indicates that an action or piece (such as a song, routine, or performance) is regularly and commonly carried out by an entity while they are on tour.
-
C.
hasTouringProductions
Indicates that an entity has one or more touring versions or productions that travel to different locations.
-
D.
touredIn
Indicates that an entity traveled to and visited a particular place, typically as part of a tour or series of visits.
-
E.
notableTour
Indicates that an entity is recognized for having a significant or well-known tour associated with it.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c30733908190980f7ffaa5c5527b |
completed | March 27, 2026, 5:48 p.m. |
Created at: March 27, 2026, 2 p.m.