Triple
T33219138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Short Subject, Novelty |
E850370
|
entity |
| Predicate | languageOfMajorityOfEligibleWorks |
P109454
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Academy Award for Best Short Subject, Novelty, languageOfMajorityOfEligibleWorks, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMajorityOfEligibleWorks Context triple: [Academy Award for Best Short Subject, Novelty, languageOfMajorityOfEligibleWorks, English]
-
A.
languageOfMajorityEligibleWorks
chosen
Indicates the primary language in which most of the qualifying or eligible works in a given set are produced or available.
-
B.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
C.
hasOfficialLanguageMajority
Indicates that a specified language is spoken by the majority of the population within a given political or geographic entity.
-
D.
majoritySpokenOn
Indicates that a language is the primary or most commonly spoken language within a specified region, group, or context.
-
E.
isWorkingLanguageOf
Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 1, 2026, 1:30 a.m.