Triple
T33263723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire in the Lake |
E851589
|
entity |
| Predicate | NationalBookAwardCategory |
P192726
|
FINISHED |
| Object | Contemporary Affairs |
—
|
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: Contemporary Affairs | Statement: [Fire in the Lake, NationalBookAwardCategory, Contemporary Affairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NationalBookAwardCategory Context triple: [Fire in the Lake, NationalBookAwardCategory, Contemporary Affairs]
-
A.
NationalBookAwardFor
Indicates that an entity has received or been honored with a National Book Award for a particular work or contribution.
-
B.
literaryAwardedBy
Indicates that a literary award is given or conferred by a particular person, organization, or institution.
-
C.
NobelPrizeCategory
Indicates the specific Nobel Prize field or discipline (such as Physics, Literature, or Peace) associated with an award or laureate.
-
D.
PulitzerPrizeVolume
Indicates that a work is a volume or installment that has received a Pulitzer Prize.
-
E.
dateAwarded Pulitzer Prize for Fiction
Indicates that a specific date is when an entity received the Pulitzer Prize for Fiction.
- F. None of above. chosen
Provenance (4 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
| PDg | Predicate description generation | batch_69fd28379d2c8190903ba228ee1cc756 |
completed | May 8, 2026, 12:03 a.m. |
Created at: May 1, 2026, 1:32 a.m.