Triple
T23994980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominik Mysterio |
E605164
|
entity |
| Predicate | matchTypeAtDebut |
P48257
|
FINISHED |
| Object | Street Fight |
—
|
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: Street Fight | Statement: [Dominik Mysterio, matchTypeAtDebut, Street Fight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchTypeAtDebut Context triple: [Dominik Mysterio, matchTypeAtDebut, Street Fight]
-
A.
matchType
Indicates the specific category or nature of how two or more entities correspond or align with each other within a given context.
-
B.
debutGoalType
Indicates the type or category of goal scored in an entity’s debut appearance.
-
C.
featuredMatchType
chosen
Indicates the specific category or kind of match that is highlighted or given special prominence.
-
D.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
-
E.
matchesType
Indicates that one entity has the same or a compatible type as another entity according to a defined type system or classification.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38ec7cc8190b91cfa09f88dacc6 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.