Triple
T35600573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OVW Television Championship |
E1028752
|
entity |
| Predicate | titleHistory |
P200353
|
FINISHED |
| Object | multiple champions over time |
—
|
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: multiple champions over time | Statement: [OVW Television Championship, titleHistory, multiple champions over time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHistory Context triple: [OVW Television Championship, titleHistory, multiple champions over time]
-
A.
historicalTitleChange
Indicates that an entity’s official title has changed at some point in history, linking the old title to the new one.
-
B.
ownershipHistory
Indicates the sequence of past and present owners associated with an entity over time.
-
C.
hasHistoricTitles
Indicates that an entity possesses or has been associated with one or more titles, ranks, or designations of historical significance.
-
D.
isHistoricTitle
Indicates that a given title or designation was used in the past and is no longer current, but is retained for historical reference.
-
E.
categoryHistory
Indicates a relationship where an entity’s past or previous category assignments are recorded or referenced over time.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
| PDg | Predicate description generation | batch_69ff841f2f2081908d72d4f878c538a0 |
completed | May 9, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:05 p.m.