Triple
T35829954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 92 |
E1035768
|
entity |
| Predicate | alsoFeaturedBout |
P109607
|
FINISHED |
| Object | Quinton Jackson vs. Wanderlei Silva |
—
|
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: Quinton Jackson vs. Wanderlei Silva | Statement: [UFC 92, alsoFeaturedBout, Quinton Jackson vs. Wanderlei Silva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoFeaturedBout Context triple: [UFC 92, alsoFeaturedBout, Quinton Jackson vs. Wanderlei Silva]
-
A.
alsoFeatured
Indicates that an entity appears in addition to another primary entity within the same context, work, or presentation.
-
B.
featuredBout
chosen
Indicates that a particular bout or match is highlighted or given special prominence within a card, event, or collection of bouts.
-
C.
alsoIn
Indicates that an entity participates in or belongs to an additional context, group, or location alongside another already specified one.
-
D.
featuredFor
Indicates that one entity is highlighted, promoted, or specially showcased in the context or for the benefit of another entity.
-
E.
featuredIn
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.