Triple
T29237298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clockwork Angels |
E741226
|
entity |
| Predicate | hasCompanionNovel |
P2758
|
FINISHED |
| Object | Clockwork Angels: The Novel |
—
|
NE NERFINISHED |
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: Clockwork Angels: The Novel | Statement: [Clockwork Angels, hasCompanionNovel, Clockwork Angels: The Novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionNovel Context triple: [Clockwork Angels, hasCompanionNovel, Clockwork Angels: The Novel]
-
A.
hasCompanionBook
chosen
Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
-
B.
hasSeriesCompanions
Indicates that one entity is accompanied by or associated with other entities as companions within the same series.
-
C.
hasNovelization
Indicates that a work has been adapted into a novel or prose narrative form.
-
D.
hasCompanionFilm
Indicates that one film is officially paired with another as a companion work, intended to be viewed or understood together.
-
E.
companionBookCoAuthor
Indicates that an entity is a co-author of a companion book associated with another work or subject.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a00532815c881908f10d9594458b3d7 |
completed | May 10, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_6a0052b9f030819081b8105bdcaf6d8f |
completed | May 10, 2026, 9:41 a.m. |
Created at: April 28, 2026, 12:30 p.m.