Triple
T13348566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie McMahon |
E318016
|
entity |
| Predicate | startOfWWEEmployment |
P4697
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Stephanie McMahon, startOfWWEEmployment, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfWWEEmployment Context triple: [Stephanie McMahon, startOfWWEEmployment, 1990s]
-
A.
earliestOccupationDate
Indicates the earliest known date on which an entity began a particular occupation or role.
-
B.
isUnemployedAtStartOf
Indicates that an individual is unemployed at the beginning of a specified time period or event.
-
C.
studCareerStartYear
Indicates the calendar year in which a student's academic or educational career formally began.
-
D.
occupationBeganAfter
Indicates that one entity’s occupation or job role started at a later time than another specified event or occupation.
-
E.
occupationBegan
chosen
Indicates the point in time when an entity started holding a particular occupation or job.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.