Triple
T35985345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Mercy |
E1040693
|
entity |
| Predicate | formerNameOfOrganization |
P65
|
FINISHED |
| Object | World Wrestling Federation |
—
|
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: World Wrestling Federation | Statement: [No Mercy, formerNameOfOrganization, World Wrestling Federation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfOrganization Context triple: [No Mercy, formerNameOfOrganization, World Wrestling Federation]
-
A.
formerOrganization
Indicates that an entity was previously affiliated with or employed by a given organization, but is no longer associated with it.
-
B.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
C.
formerNameOfParentCompany
Indicates that one entity was the previous official name of the company that is now the parent company of another entity.
-
D.
formerSiteName
Indicates that an entity previously had a different site name, specifying what that earlier name was.
-
E.
underlyingCompanyFormerName
Indicates that the object is a former or previous legal name by which the underlying company (the subject) was known.
- F. None of above.
Provenance (3 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:07 p.m.