Triple
T10212499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tortoise and the Hare |
E242362
|
entity |
| Predicate | disneyCanonStatus |
P70907
|
FINISHED |
| Object | classic short |
—
|
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: classic short | Statement: [The Tortoise and the Hare, disneyCanonStatus, classic short]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disneyCanonStatus Context triple: [The Tortoise and the Hare, disneyCanonStatus, classic short]
-
A.
hasFilmVersionStatus
Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
-
B.
disneyLabel
chosen
Indicates that an entity is labeled, branded, or categorized under the Disney franchise or organization.
-
C.
eraInCanon
Indicates that a subject belongs to, occurs within, or is classified as part of a specific era defined in a canon or fictional continuity.
-
D.
hasCanonicalStatusInGenre
Indicates that an entity holds a widely recognized, authoritative, or classic status within a particular genre.
-
E.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa23bce881909b5deac612ec22cb |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:02 a.m.