Triple
T5321746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairn Terrier |
E121689
|
entity |
| Predicate | notableAppearanceInFilm |
P55029
|
FINISHED |
| Object | Toto in "The Wizard of Oz" |
—
|
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: Toto in "The Wizard of Oz" | Statement: [Cairn Terrier, notableAppearanceInFilm, Toto in "The Wizard of Oz"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAppearanceInFilm Context triple: [Cairn Terrier, notableAppearanceInFilm, Toto in "The Wizard of Oz"]
-
A.
notableAppearanceIn
chosen
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
B.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
C.
includedInFilm
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
-
D.
basedInFilm
Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
-
E.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.