Triple
T5783400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kris Allen |
E128212
|
entity |
| Predicate | continuedTouringAfter |
P65819
|
FINISHED |
| Object | 2013 car accident |
—
|
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: 2013 car accident | Statement: [Kris Allen, continuedTouringAfter, 2013 car accident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuedTouringAfter Context triple: [Kris Allen, continuedTouringAfter, 2013 car accident]
-
A.
touringScope
Indicates the extent or range of locations, venues, or areas covered by an entity’s tour or touring activity.
-
B.
notableTour
Indicates that an entity is recognized for having a significant or well-known tour associated with it.
-
C.
touringActivity
Indicates an activity where an entity travels from place to place, typically for visiting, performing, or sightseeing purposes.
-
D.
touredIn
Indicates that an entity traveled to and visited a particular place, typically as part of a tour or series of visits.
-
E.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a184870819084251554eae1e33c |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:50 p.m.