Triple
T21486414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Buttler |
E530126
|
entity |
| Predicate | relationshipStartContext |
P97364
|
FINISHED |
| Object | known as partner of Jos Buttler before and during his international career |
—
|
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: known as partner of Jos Buttler before and during his international career | Statement: [Louise Buttler, relationshipStartContext, known as partner of Jos Buttler before and during his international career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStartContext Context triple: [Louise Buttler, relationshipStartContext, known as partner of Jos Buttler before and during his international career]
-
A.
relationshipStartEvent
Indicates the event or point in time at which a particular relationship between entities begins.
-
B.
relationshipContext
chosen
Indicates the situational or social setting in which a relationship between entities exists or occurs.
-
C.
relationshipEnd
Indicates that a previously existing relationship between entities has been terminated or has come to an end.
-
D.
relationshipStartYear
Indicates the calendar year in which a particular relationship between entities was initiated.
-
E.
relationshipType
Indicates the specific kind of relationship that exists between two or more 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea370adc8190b79fe26e2eba1dca |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:22 p.m.