Triple
T20178411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avery Jones |
E492658
|
entity |
| Predicate | worksInAdaptationsOf |
P118487
|
FINISHED |
| Object | children's horror literature |
—
|
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 horror literature | Statement: [Avery Jones, worksInAdaptationsOf, children's horror literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksInAdaptationsOf Context triple: [Avery Jones, worksInAdaptationsOf, children's horror literature]
-
A.
portrayedInAdaptationOf
Indicates that an entity is depicted as a character or role within an adaptation (such as a film, series, or game) that is based on another original work.
-
B.
appearsInAdaptationBy
Indicates that an entity is featured or present in an adaptation created by a specified adapter (e.g., author, director, or studio).
-
C.
adaptedWorkOf
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
-
D.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
E.
hasAdaptationsOfWorksIn
chosen
Indicates that an entity includes or contains adaptations of works that originate from another specified entity or context.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.