Triple
T35999818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tully Blanchard |
E1041097
|
entity |
| Predicate | returnedToWrestlingAsManager |
P191923
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [Tully Blanchard, returnedToWrestlingAsManager, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToWrestlingAsManager Context triple: [Tully Blanchard, returnedToWrestlingAsManager, 2010s]
-
A.
returnedToWWE
Indicates that an individual who was previously with WWE has come back to work or perform there again.
-
B.
managedWrestler
Indicates that one entity served as the manager of another entity in a professional wrestling context.
-
C.
wrestlingRetirement
Indicates that an individual has ended or formally withdrawn from participating in professional wrestling competition.
-
D.
wrestledWith
Indicates that one entity engaged in a physical wrestling contest or struggle with another entity.
-
E.
trainedAsWrestlerIn
Indicates that one entity received wrestling training in a specific place, organization, or context associated with the other entity.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 3, 2026, 4:07 p.m.