Triple
T18258473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin Lavransdatter |
E437279
|
entity |
| Predicate | awardAssociatedWithWork |
P97724
|
FINISHED |
| Object | Nobel Prize in Literature (1928, to Sigrid Undset) |
—
|
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: Nobel Prize in Literature (1928, to Sigrid Undset) | Statement: [Kristin Lavransdatter, awardAssociatedWithWork, Nobel Prize in Literature (1928, to Sigrid Undset)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardAssociatedWithWork Context triple: [Kristin Lavransdatter, awardAssociatedWithWork, Nobel Prize in Literature (1928, to Sigrid Undset)]
-
A.
awardReceivedByWork
Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
-
B.
awardRelatedWork
chosen
Indicates that there is a connection between an award and the work (such as a project, publication, or performance) for which it was given or with which it is associated.
-
C.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
D.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
E.
awardContributedTo
Indicates that an entity played a role or made a contribution that helped lead to a particular award or recognition being granted.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.