Triple
T33637141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Foreign Language Film (India's official entry) |
E861728
|
entity |
| Predicate | currentAwardName |
P5653
|
FINISHED |
| Object | Academy Award for Best International Feature Film |
—
|
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: Academy Award for Best International Feature Film | Statement: [Academy Award for Best Foreign Language Film (India's official entry), currentAwardName, Academy Award for Best International Feature Film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentAwardName Context triple: [Academy Award for Best Foreign Language Film (India's official entry), currentAwardName, Academy Award for Best International Feature Film]
-
A.
prizeName
Indicates the specific name or title assigned to a prize associated with an entity.
-
B.
awardName
chosen
Indicates the specific name or title of an award associated with an entity.
-
C.
lastAwarded
Indicates the most recent time or instance at which an entity received a particular award.
-
D.
awardNameIncludes
Indicates that the name of an award contains the specified text or substring.
-
E.
mainAwardWinner
Indicates that the subject is the primary recipient of a specified award or honor.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: May 1, 2026, 1:42 a.m.