Triple
T36303200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Championship Wrestling |
E893875
|
entity |
| Predicate | developedTalentFor |
P194498
|
FINISHED |
| Object | WWE Raw |
—
|
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: WWE Raw | Statement: [Florida Championship Wrestling, developedTalentFor, WWE Raw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedTalentFor Context triple: [Florida Championship Wrestling, developedTalentFor, WWE Raw]
-
A.
developsSkill
Indicates that one entity causes or contributes to the growth, improvement, or acquisition of a particular skill in another entity.
-
B.
developedTrait
Indicates that an entity has acquired or evolved a particular characteristic, quality, or feature over time.
-
C.
developsTrait
Indicates that an entity comes to acquire or manifest a particular trait over time.
-
D.
talentType
Indicates the specific category or kind of talent or skill associated with an entity.
-
E.
discoversTalentOf
Indicates that one entity identifies or recognizes the talent or abilities possessed by another 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 3, 2026, 4:09 p.m.