Triple
T21181761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daystar Productions |
E521967
|
entity |
| Predicate | hasNotableGenreOfWork |
P28041
|
FINISHED |
| Object | science fiction anthology |
—
|
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: science fiction anthology | Statement: [Daystar Productions, hasNotableGenreOfWork, science fiction anthology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableGenreOfWork Context triple: [Daystar Productions, hasNotableGenreOfWork, science fiction anthology]
-
A.
hasNotableGenre
chosen
Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
-
B.
hasNotableWorkCategory
Indicates that an entity’s notable work belongs to, or is classified under, a particular category or type.
-
C.
hasNotableMusicWork
Indicates that an entity is associated with a significant or well-known musical work, such as a composition, recording, or performance.
-
D.
hasNotableSubgenre
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
-
E.
hasNotableWorkSection
Indicates that a notable work is associated with a specific section or part of a larger work or document.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301eb3248190b9f6fc1586651fec |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:01 p.m.