Triple
T14690439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children of the Forest |
E345019
|
entity |
| Predicate | inTVSeries |
P3279
|
FINISHED |
| Object | Leaf |
—
|
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: Leaf | Statement: [Children of the Forest, inTVSeries, Leaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inTVSeries Context triple: [Children of the Forest, inTVSeries, Leaf]
-
A.
televisionShow
chosen
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
B.
recommendationSeries
Indicates that one entity is recommended as a series (e.g., a sequence of related items or installments) in relation to another entity.
-
C.
inFilmAndTV
Indicates that the subject appears or is featured within the context of film and television works.
-
D.
homeSeriesGenre
Indicates that a home media series (such as a TV or video series) belongs to or is categorized under a particular genre.
-
E.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5844de481908a796eaa474bfde9 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.