Triple
T36000154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnum T. A. |
E1041104
|
entity |
| Predicate | hadNotableMatch |
P184318
|
FINISHED |
| Object | I Quit steel cage match vs. Tully Blanchard at Starrcade 1985 |
—
|
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: I Quit steel cage match vs. Tully Blanchard at Starrcade 1985 | Statement: [Magnum T. A., hadNotableMatch, I Quit steel cage match vs. Tully Blanchard at Starrcade 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNotableMatch Context triple: [Magnum T. A., hadNotableMatch, I Quit steel cage match vs. Tully Blanchard at Starrcade 1985]
-
A.
didNotWinAgainst
Indicates that one entity competed against another and failed to achieve a victory over them.
-
B.
hasNotableRanking
Indicates that an entity holds a significant or distinguished position within an ordered list or ranking system.
-
C.
hasNotWonTournament
Indicates that an entity has not achieved victory in a specified tournament.
-
D.
hadNotableRider
Indicates that an animal, vehicle, or conveyance was ridden by a person considered historically or culturally notable.
-
E.
didNotPlayInTournament
Indicates that the specified entity did not participate as a player in the referenced tournament.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad15f3b88190b7c9742a734fec5f |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.