Triple
T5271092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Young |
E119258
|
entity |
| Predicate | awardReceivedNote |
P11
|
FINISHED |
| Object | Academy Award for Around the World in 80 Days was awarded posthumously |
—
|
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 Around the World in 80 Days was awarded posthumously | Statement: [Victor Young, awardReceivedNote, Academy Award for Around the World in 80 Days was awarded posthumously]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardReceivedNote Context triple: [Victor Young, awardReceivedNote, Academy Award for Around the World in 80 Days was awarded posthumously]
-
A.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
B.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
C.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardCreated
Indicates that an award was established or instituted by a particular agent or entity.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.