Triple
T15883518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell in a Cell match |
E385132
|
entity |
| Predicate | notableSpot |
P120901
|
FINISHED |
| Object | Mick Foley thrown from top of the cell through announce table |
—
|
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: Mick Foley thrown from top of the cell through announce table | Statement: [Hell in a Cell match, notableSpot, Mick Foley thrown from top of the cell through announce table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSpot Context triple: [Hell in a Cell match, notableSpot, Mick Foley thrown from top of the cell through announce table]
-
A.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
B.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
C.
notableDestination
Indicates that a location is recognized as a significant or prominent place that people commonly travel to or aim to visit.
-
D.
notableSite
Indicates that a site holds particular significance, prominence, or recognition in some context.
-
E.
notableLocationFeatured
Indicates that a particular location is prominently highlighted or showcased in relation to the subject.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.