Triple
T18352356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love (novel) |
E439698
|
entity |
| Predicate | hasLiteraryAwardNomination |
P130039
|
FINISHED |
| Object | National Book Critics Circle Award (fiction) nomination |
—
|
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: National Book Critics Circle Award (fiction) nomination | Statement: [Love (novel), hasLiteraryAwardNomination, National Book Critics Circle Award (fiction) nomination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiteraryAwardNomination Context triple: [Love (novel), hasLiteraryAwardNomination, National Book Critics Circle Award (fiction) nomination]
-
A.
notableAwardOfAuthor
Indicates that a particular award is a significant or distinguished honor received by the author.
-
B.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
-
C.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
D.
literaryAwardShortlist
chosen
Indicates that a work or creator has been officially selected as a finalist for a particular literary award.
-
E.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f8f07c8190a1506d4a327369d0 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.