Triple
T24417102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA Player of the Century (co-winner) |
E615613
|
entity |
| Predicate | numberOfRecipientsPerAward |
P142787
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [FIFA Player of the Century (co-winner), numberOfRecipientsPerAward, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRecipientsPerAward Context triple: [FIFA Player of the Century (co-winner), numberOfRecipientsPerAward, 1]
-
A.
maximumNumberOfRecipientsPerAward
chosen
Indicates the largest number of recipients that can share or receive a single award.
-
B.
numberOfGrants
Indicates the total count of grants associated with a given entity or context.
-
C.
maximumNumberOfLaureatesPerEdition
Indicates the highest number of laureates that can be awarded in a single edition of a given prize or event.
-
D.
awardeesReceive
Indicates that designated awardees are the recipients of a particular award or honor.
-
E.
maximumNumberOfLaureatesPerYear
Indicates the highest allowable or observed count of laureates associated with a given year.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958645248190a22bd0b8bcc2dfe2 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.