Triple
T17250961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Moon Investigations |
E418749
|
entity |
| Predicate | hasTelevisionFormat |
P110401
|
FINISHED |
| Object | children's TV series adaptation |
—
|
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 TV series adaptation | Statement: [Half Moon Investigations, hasTelevisionFormat, children's TV series adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionFormat Context triple: [Half Moon Investigations, hasTelevisionFormat, children's TV series adaptation]
-
A.
televisionFormat
Indicates the specific type or style of television program or production format associated with an entity.
-
B.
hasTelevisionVersion
chosen
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
-
C.
isTelevised
Indicates that an event, program, or activity is broadcast on television for public viewing.
-
D.
hasTheatricalForm
Indicates that something is associated with or presented in a particular theatrical form or style.
-
E.
hasTelevisionAdaptationBroadcaster
Indicates that the broadcaster specified is responsible for airing the television adaptation of the subject work or entity.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e270fc48190a75f3893a5ec059b |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.