Triple
T24200364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Society of Film Critics Award for Best Screenplay |
E599957
|
entity |
| Predicate | hasAwardedSinceDecade |
P11125
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Boston Society of Film Critics Award for Best Screenplay, hasAwardedSinceDecade, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedSinceDecade Context triple: [Boston Society of Film Critics Award for Best Screenplay, hasAwardedSinceDecade, 1980s]
-
A.
hasAwardedForDecades
Indicates that an entity has consistently given or granted something (such as an award, honor, or recognition) over a period spanning many decades.
-
B.
awardedSinceCentury
chosen
Indicates that an award has been given starting from a specified century onward.
-
C.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
D.
lastAwarded
Indicates the most recent time or instance at which an entity received a particular award.
-
E.
hasWonTitleInDecade
Indicates that an entity has won a particular title at least once during a specified decade.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca08874819081dd6613ac462c40 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.