Triple
T27519177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Player of the Year |
E694656
|
entity |
| Predicate | hasFemaleRecordHolder |
P81765
|
FINISHED |
| Object | Christine Sinclair |
—
|
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: Christine Sinclair | Statement: [Canadian Player of the Year, hasFemaleRecordHolder, Christine Sinclair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFemaleRecordHolder Context triple: [Canadian Player of the Year, hasFemaleRecordHolder, Christine Sinclair]
-
A.
holdsNationalRecord
Indicates that an entity possesses the officially recognized best national performance or achievement in a particular field, event, or category.
-
B.
hasFemaleCompetitors
Indicates that an entity participates in a competitive context where at least some of the competitors are female.
-
C.
worldRecordMaintainedBy
Indicates that a particular world record is currently held or overseen by a specific entity (such as a person or organization).
-
D.
recordHolderMen
Indicates that the subject is the male athlete who holds the record for a specified event or category.
-
E.
hasNotableRecordHolders
chosen
Indicates that an entity is associated with specific individuals or groups recognized for holding notable records related to it.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 1:20 p.m.