Triple
T5614003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Award for Best Series |
E147430
|
entity |
| Predicate | hasCategory |
P87
|
FINISHED |
| Object |
Best Series
Best Series is a Hugo Award category that honors outstanding ongoing or multi-volume science fiction or fantasy book series.
|
E534037
|
NE FINISHED |
How this triple was built (4 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: Best Series | Statement: [Hugo Award for Best Series, hasCategory, Best Series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Best Series Context triple: [Hugo Award for Best Series, hasCategory, Best Series]
-
A.
Best Short-Form Series
Best Short-Form Series is an International Emmy Award category recognizing outstanding achievement in short-format television or digital series produced outside the United States.
-
B.
Mode series
The Mode series is a science fiction/fantasy book series by Piers Anthony that explores parallel universes and alternate realities.
-
C.
Series S
Series S is a set of ITU-T telecommunications standards focused on telegraph and related terminal equipment specifications.
-
D.
Best
Best is a town and municipality in the southern Netherlands, located in the province of North Brabant near the city of Eindhoven.
-
E.
Best
Best is a common English surname borne by numerous notable individuals across sports, arts, and public life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Best Series Triple: [Hugo Award for Best Series, hasCategory, Best Series]
Generated description
Best Series is a Hugo Award category that honors outstanding ongoing or multi-volume science fiction or fantasy book series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Best Series Target entity description: Best Series is a Hugo Award category that honors outstanding ongoing or multi-volume science fiction or fantasy book series.
-
A.
Best Short-Form Series
Best Short-Form Series is an International Emmy Award category recognizing outstanding achievement in short-format television or digital series produced outside the United States.
-
B.
Mode series
The Mode series is a science fiction/fantasy book series by Piers Anthony that explores parallel universes and alternate realities.
-
C.
Series S
Series S is a set of ITU-T telecommunications standards focused on telegraph and related terminal equipment specifications.
-
D.
Best
Best is a town and municipality in the southern Netherlands, located in the province of North Brabant near the city of Eindhoven.
-
E.
Best
Best is a common English surname borne by numerous notable individuals across sports, arts, and public life.
- F. None of above. chosen
Provenance (5 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021226cf88190b70b4b51eb5b4144 |
completed | March 22, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287b14708190bc246e982896ad27 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03f8c1a3081908f9d03a6c51d69f0 |
completed | March 22, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0404f0a3081908850794f9a5cea40 |
completed | March 22, 2026, 7:17 p.m. |
Created at: March 22, 2026, 3:39 p.m.