Triple
T27311499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make Way for Noddy |
E689221
|
entity |
| Predicate | basedOnSeriesOfBooks |
P115705
|
FINISHED |
| Object | Noddy books |
—
|
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: Noddy books | Statement: [Make Way for Noddy, basedOnSeriesOfBooks, Noddy books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnSeriesOfBooks Context triple: [Make Way for Noddy, basedOnSeriesOfBooks, Noddy books]
-
A.
adaptedFromBookSeries
chosen
Indicates that one work is an adaptation based on the narrative, characters, or world of a specific book series.
-
B.
basedOnInFiction
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
C.
builtOnTopOfInFiction
Indicates that, within a fictional context, one work, setting, or construct is created by reusing, layering on, or structurally depending upon another preexisting fictional work, setting, or construct.
-
D.
bookTieIn
Indicates that one creative work is directly related to another as a tie-in, typically produced to promote, expand, or accompany the original work (such as a book based on a film, game, or TV series).
-
E.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
- 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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 11:28 a.m.