Triple
T32774192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen Ferrier |
E838147
|
entity |
| Predicate | hasPosthumousHonor |
P43819
|
FINISHED |
| Object | Kathleen Ferrier Award |
—
|
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: Kathleen Ferrier Award | Statement: [Kathleen Ferrier, hasPosthumousHonor, Kathleen Ferrier Award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPosthumousHonor Context triple: [Kathleen Ferrier, hasPosthumousHonor, Kathleen Ferrier Award]
-
A.
posthumousRecognitionBy
Indicates that an entity receives recognition, honor, or acknowledgment from another entity after the former has died.
-
B.
medalOfHonorPosthumous
Indicates that a Medal of Honor was awarded to an individual after their death.
-
C.
hasNotableHonor
Indicates that an entity has received a significant award, title, or formal recognition of distinction.
-
D.
isPosthumousTributeTo
Indicates that something (such as a work, event, or honor) is created or given as a tribute to a person after that person has died.
-
E.
isPosthumousAwardRecipientOf
chosen
Indicates that an entity received an award that was granted after their death.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:13 a.m.