Triple
T2345831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Award for Best Dramatic Presentation, Short Form |
E45127
|
entity |
| Predicate | awardedForMedium |
P33478
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Hugo Award for Best Dramatic Presentation, Short Form, awardedForMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForMedium Context triple: [Hugo Award for Best Dramatic Presentation, Short Form, awardedForMedium, television]
-
A.
hasAwardMedium
Indicates that an award is associated with a particular medium or format through which it is given or recognized.
-
B.
hasAwardedMedium
Indicates that one entity has granted or conferred a specific medium-level award or recognition to another entity.
-
C.
awardMedium
chosen
Indicates the medium or format through which an award is given, presented, or communicated.
-
D.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.