Triple
T36480360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Hall of Fame 2024 |
E898796
|
entity |
| Predicate | classNumber |
P186435
|
FINISHED |
| Object | 2024 |
—
|
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: 2024 | Statement: [WWE Hall of Fame 2024, classNumber, 2024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classNumber Context triple: [WWE Hall of Fame 2024, classNumber, 2024]
-
A.
courseNumber
Indicates the specific numeric identifier assigned to a course within an educational curriculum or catalog.
-
B.
subjectNumber
Indicates the numerical identifier or count associated with the subject in the relationship.
-
C.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
D.
courseClass
Indicates that a particular course is classified as belonging to a specific academic class or category.
-
E.
classLevel
Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:10 p.m.