Triple
T13498906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arliss Coates |
E320832
|
entity |
| Predicate | characterInFilmAdaptationOf |
P12208
|
FINISHED |
| Object | Old Yeller (novel) |
E1052770
|
NE FINISHED |
How this triple was built (3 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: Old Yeller (novel) | Statement: [Arliss Coates, characterInFilmAdaptationOf, Old Yeller (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Yeller (novel) Context triple: [Arliss Coates, characterInFilmAdaptationOf, Old Yeller (novel)]
-
A.
Old Yeller
Old Yeller is a classic 1957 American family drama film about a boy and his loyal dog on the Texas frontier, renowned for its emotional impact and enduring popularity.
-
B.
Old Yeller (1956 novel)
chosen
Old Yeller is a classic 1956 children's novel by Fred Gipson about a boy and his loyal dog on the Texas frontier, exploring themes of love, responsibility, and coming of age.
-
C.
The Yearling (novel)
The Yearling is a classic 1938 novel by Marjorie Kinnan Rawlings about a boy in rural Florida and his deep bond with an orphaned fawn, exploring themes of family, loss, and coming of age.
-
D.
A Boy and His Dog
A Boy and His Dog is a post-apocalyptic science fiction novella best known for its darkly satirical portrayal of a telepathic bond between a boy and his dog as they struggle to survive in a devastated future America.
-
E.
White Fang
White Fang is a classic adventure novel by Jack London that follows the brutal yet redemptive life of a wolfdog in the Yukon during the Klondike Gold Rush.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInFilmAdaptationOf Context triple: [Arliss Coates, characterInFilmAdaptationOf, Old Yeller (novel)]
-
A.
hasNoFilmAdaptationAsCharacter
Indicates that the subject has not appeared as a character in any film adaptation.
-
B.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
C.
filmCharacterVersionOf
Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
-
D.
adaptedIntoFilmStarring
Indicates that a work has been adapted into a film in which a specified actor or set of actors star.
-
E.
creatorOfAdaptationCharacterIn
Indicates that a person is the creator of a character that appears in a particular adaptation of a work.
- F. None of above.
Provenance (4 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c49e9c819088e6e98aa53d05fa |
completed | May 3, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.