Triple
T30020699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shizuka Arakawa |
E762727
|
entity |
| Predicate | former coach |
P198079
|
FINISHED |
| Object | Nobuo Sato |
—
|
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: Nobuo Sato | Statement: [Shizuka Arakawa, former coach, Nobuo Sato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: former coach Context triple: [Shizuka Arakawa, former coach, Nobuo Sato]
-
A.
formerAssistantCoachAt
Indicates that a person previously held, but no longer holds, the position of assistant coach for a particular team or organization.
-
B.
previousHeadCoach
Indicates that one entity formerly served as the head coach of the other entity before being replaced.
-
C.
notableFormerCoach
Indicates that an entity previously served as a coach of another entity and is recognized as particularly significant or prominent in that former coaching role.
-
D.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
E.
returnedAsHeadCoach
Indicates that an individual resumed a previous role as head coach of a team or organization after a period of absence.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69fec8adaa308190a9a276f8c36f15f0 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 29, 2026, 6:47 p.m.