Triple
T21639108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayfarers |
E534039
|
entity |
| Predicate | awardsReceivedByParts |
P219
|
FINISHED |
| Object | Arthur C. Clarke Award nominations |
—
|
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: Arthur C. Clarke Award nominations | Statement: [Wayfarers, awardsReceivedByParts, Arthur C. Clarke Award nominations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsReceivedByParts Context triple: [Wayfarers, awardsReceivedByParts, Arthur C. Clarke Award nominations]
-
A.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
B.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
-
C.
partOfAwardsBody
Indicates that one entity functions as a constituent or subdivision within a larger awards-governing organization or body.
-
D.
relatedAward
chosen
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
E.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538fb12481908f70ad8dbe1d99e4 |
completed | April 27, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.