Triple
T36270914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Darkness, Shining Light |
E892669
|
entity |
| Predicate | awardLonglist |
P137203
|
FINISHED |
| Object | Walter Scott Prize for Historical Fiction |
—
|
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: Walter Scott Prize for Historical Fiction | Statement: [Out of Darkness, Shining Light, awardLonglist, Walter Scott Prize for Historical Fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardLonglist Context triple: [Out of Darkness, Shining Light, awardLonglist, Walter Scott Prize for Historical Fiction]
-
A.
literaryAwardLonglist
chosen
Indicates that an entity (such as a work or creator) is included on the longlist for a particular literary award.
-
B.
literaryAwardShortlist
Indicates that a work or creator has been officially selected as a finalist for a particular literary award.
-
C.
awardShortlist
Indicates that an entity has been officially shortlisted or nominated for a specific award.
-
D.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
E.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:09 p.m.