Triple
T4359138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killer Films |
E98620
|
entity |
| Predicate | notableAwardForWork |
P41228
|
FINISHED |
| Object | Academy Award for Best Actress for Still Alice |
—
|
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: Academy Award for Best Actress for Still Alice | Statement: [Killer Films, notableAwardForWork, Academy Award for Best Actress for Still Alice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAwardForWork Context triple: [Killer Films, notableAwardForWork, Academy Award for Best Actress for Still Alice]
-
A.
notableAwardWork
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
-
B.
notableAwardedFor
chosen
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
C.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
D.
notableAwardRecognition
Indicates that an entity has received or been formally recognized with a notable award or honor.
-
E.
awardReceivedByWork
Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.