Triple
T6320665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Award for Best Dramatic Presentation |
E141728
|
entity |
| Predicate | award for dramatic presentation in science fiction and fantasy media |
P1619
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hugo Award for Best Dramatic Presentation, award for dramatic presentation in science fiction and fantasy media, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: award for dramatic presentation in science fiction and fantasy media Context triple: [Hugo Award for Best Dramatic Presentation, award for dramatic presentation in science fiction and fantasy media, true]
-
A.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
B.
awardMedium
Indicates the medium or format through which an award is given, presented, or communicated.
-
C.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
D.
awardedForTheater
Indicates that an award or honor is given in recognition of achievements or contributions in the field of theater.
-
E.
awardGenreFocus
Indicates that an award specifically recognizes or emphasizes works within a particular genre.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c61f008190b316b9ff1023b057 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.