Triple
T29098725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Century Cycle |
E735080
|
entity |
| Predicate | The Piano Lesson_award |
P83209
|
FINISHED |
| Object | Pulitzer Prize for Drama |
—
|
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: Pulitzer Prize for Drama | Statement: [Century Cycle, The Piano Lesson_award, Pulitzer Prize for Drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: The Piano Lesson_award Context triple: [Century Cycle, The Piano Lesson_award, Pulitzer Prize for Drama]
-
A.
awardedInTheatre
Indicates that an award or honor was given to someone or something specifically for work or achievement in the field of theatre.
-
B.
hasTonyAward
Indicates that an entity has received or been awarded a Tony Award.
-
C.
screenplayAwardedTo
Indicates that a screenplay-related award has been given to a particular recipient.
-
D.
PulitzerPrizeForDramaFor
chosen
Indicates that a work or creator has been awarded the Pulitzer Prize specifically in the Drama category for that work.
-
E.
dramaDeskAwardWinCategory
Indicates that an entity has won a Drama Desk Award in a specified award category.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6618344c08190a3c918a41a871381 |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:10 a.m.