Triple
T24200453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Society of Film Critics Award for Best New Filmmaker |
E599961
|
entity |
| Predicate | firstWinnerWork |
P21185
|
FINISHED |
| Object | Big Night |
—
|
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: Big Night | Statement: [Boston Society of Film Critics Award for Best New Filmmaker, firstWinnerWork, Big Night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinnerWork Context triple: [Boston Society of Film Critics Award for Best New Filmmaker, firstWinnerWork, Big Night]
-
A.
firstWinningWork
chosen
Indicates the relationship where a particular work is the first one for which an entity (such as a person or group) received a win, award, or notable victory.
-
B.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
C.
winnerWork
Indicates that a particular work (such as a book, film, or piece of art) is the one that won a specified award or competition.
-
D.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
-
E.
firstWork
Indicates that the related work is the earliest or initial work created, published, or produced by the entity in question.
- 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.