Triple
T37856281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Blake |
E944197
|
entity |
| Predicate | fifaPosition |
P47236
|
FINISHED |
| Object | GK |
—
|
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: GK | Statement: [Andre Blake, fifaPosition, GK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaPosition Context triple: [Andre Blake, fifaPosition, GK]
-
A.
representsInFIFA
Indicates that an entity serves as the official representative of another entity within the context of FIFA competitions or governance.
-
B.
clubPosition
chosen
Indicates the specific role or position an individual holds within a sports club or team.
-
C.
fifaRecognized
Indicates that an organization, competition, or entity is officially recognized or sanctioned by FIFA as meeting its standards or falling under its authority.
-
D.
BuffonPosition
Indicates that an entity holds or has held a specific professional or official position associated with Buffon (e.g., a role, title, or office linked to Buffon).
-
E.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.