Triple
T28180058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor for The Front Page |
E716001
|
entity |
| Predicate | awardRoleType |
P129840
|
FINISHED |
| Object | lead actor |
—
|
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: lead actor | Statement: [Academy Award for Best Actor for The Front Page, awardRoleType, lead actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRoleType Context triple: [Academy Award for Best Actor for The Front Page, awardRoleType, lead actor]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardForPerformerType
chosen
Indicates that an award is designated for or associated with a specific type or category of performer.
-
C.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardBodyType
Indicates the type or classification of the organization or body that grants or issues an award.
- 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 27, 2026, 10:19 p.m.