Triple
T35885799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Henderson vs Michael Bisping |
E1037638
|
entity |
| Predicate | buildup |
P184457
|
FINISHED |
| Object | coaching rivalry on The Ultimate Fighter |
—
|
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: coaching rivalry on The Ultimate Fighter | Statement: [Dan Henderson vs Michael Bisping, buildup, coaching rivalry on The Ultimate Fighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildup Context triple: [Dan Henderson vs Michael Bisping, buildup, coaching rivalry on The Ultimate Fighter]
-
A.
hasBuildUp
Indicates that one entity accumulates or develops gradually within, on, or around another entity over time.
-
B.
builtUpBy
Indicates that something has been constructed, developed, or formed through the actions or contributions of a specified agent or process.
-
C.
builder
Indicates that an entity is responsible for constructing, creating, or assembling another entity.
-
D.
backsUp
Indicates that one entity provides support, reinforcement, or confirmation for another entity’s actions, statements, or position.
-
E.
rebuild
Indicates restoring or constructing again something that was previously built, often after damage, destruction, or significant alteration.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:06 p.m.