Triple
T2136036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxim Afinogenov |
E46654
|
entity |
| Predicate | hasPlayedRole |
P36975
|
FINISHED |
| Object | top-six forward |
—
|
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: top-six forward | Statement: [Maxim Afinogenov, hasPlayedRole, top-six forward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedRole Context triple: [Maxim Afinogenov, hasPlayedRole, top-six forward]
-
A.
playedRoleIn
Indicates that an entity performed or assumed a specific role or character within a particular event, production, or context.
-
B.
playedKeyRoleIn
Indicates that an entity had a major, influential, or decisive impact on the occurrence, outcome, or success of another entity or event.
-
C.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
-
D.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
E.
alsoPlayedIn
Indicates that an entity (such as a person or performer) participated or appeared in another work, production, or context in addition to the one already referenced.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf71edf08190add69022aabfd49d |
completed | March 7, 2026, 6:02 a.m. |
Created at: March 4, 2026, 7:44 p.m.