Triple
T30769019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiley (screenplay) |
E783459
|
entity |
| Predicate | originatesFromWorkType |
P66419
|
FINISHED |
| Object | children’s novel |
—
|
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: children’s novel | Statement: [Smiley (screenplay), originatesFromWorkType, children’s novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatesFromWorkType Context triple: [Smiley (screenplay), originatesFromWorkType, children’s novel]
-
A.
originallyFromWorkType
chosen
Indicates that one entity was derived, adapted, or sourced from an original work of a specified type (e.g., book, film, artwork).
-
B.
originatesFromWork
Indicates that something has its source, derivation, or creation in a particular work (such as a document, artwork, or publication).
-
C.
isFromWorkCreatedIn
Indicates that something originates from or is derived from a work that was created in a specific context, such as a place, time, or setting.
-
D.
basedOnWorkTypeOftenAppearsIn
Indicates that something of a given work type frequently appears in or is commonly found within another context or medium.
-
E.
isOccupationalInOrigin
Indicates that something (typically a name or term) originates from or is derived from an occupation or profession.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a006be462288190ae18e1567e2ad29f |
completed | May 10, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_6a0069e7a424819098d38458c3823605 |
completed | May 10, 2026, 11:20 a.m. |
Created at: April 29, 2026, 8:40 p.m.