Triple
T24204788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trish Stratus |
E600075
|
entity |
| Predicate | numberOfReigns |
P155198
|
FINISHED |
| Object | 7-time WWE Women’s Champion |
—
|
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: 7-time WWE Women’s Champion | Statement: [Trish Stratus, numberOfReigns, 7-time WWE Women’s Champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfReigns Context triple: [Trish Stratus, numberOfReigns, 7-time WWE Women’s Champion]
-
A.
mostReignsNumber
Indicates that the subject holds the highest number of separate reigns or terms in a given role or title compared to all others.
-
B.
reignLengthsType
Indicates the type or categorization of the duration of a reign (e.g., how a reign’s length is classified).
-
C.
hasNumberOfRulers
Indicates the quantity of rulers associated with or governing a given entity.
-
D.
reignDuration
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
E.
centuryOfReign
Indicates the century during which a given entity’s reign or rule took place.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca52cb881908c99913ea93bc88e |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:37 p.m.