Triple
T32644484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umaga |
E834562
|
entity |
| Predicate | matchAtEvent |
P42689
|
FINISHED |
| Object | Battle of the Billionaires Hair vs. Hair match at WrestleMania 23 |
—
|
NE NERFINISHED |
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: Battle of the Billionaires Hair vs. Hair match at WrestleMania 23 | Statement: [Umaga, matchAtEvent, Battle of the Billionaires Hair vs. Hair match at WrestleMania 23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchAtEvent Context triple: [Umaga, matchAtEvent, Battle of the Billionaires Hair vs. Hair match at WrestleMania 23]
-
A.
matchOf
chosen
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
-
B.
meetsForEvent
Indicates that two or more entities come together at the same place and time specifically to participate in a particular event.
-
C.
tookPlaceAtEvent
Indicates that an action or occurrence happened during or in the context of a specific event.
-
D.
matchContext
Indicates that two or more entities are related within the same situational, conversational, or environmental setting that frames or influences their interaction.
-
E.
posedAtEvent
Indicates that an entity assumed a particular pose or posture during a specified event.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c775d6188190b236fc4f89a11b61 |
completed | May 3, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.