Triple
T14956131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chazz Michael Michaels |
E372931
|
entity |
| Predicate | skatingDiscipline |
P116823
|
FINISHED |
| Object | men's singles |
—
|
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: men's singles | Statement: [Chazz Michael Michaels, skatingDiscipline, men's singles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skatingDiscipline Context triple: [Chazz Michael Michaels, skatingDiscipline, men's singles]
-
A.
skating style
Indicates the particular technique or manner in which an entity performs skating.
-
B.
rowingDiscipline
Indicates the specific type or category of rowing event or style associated with an entity.
-
C.
WorldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) imposed on an entity in the context of a FIFA World Cup competition.
-
D.
iceSurface
Indicates that something is located on, in contact with, or forming the surface of ice.
-
E.
playsOnRinkType
Indicates that an entity participates in a game or activity on a specific type of rink surface or rink configuration.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.