Triple
T10919371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Women (anime) |
E257904
|
entity |
| Predicate | animationOrigin |
P96641
|
FINISHED |
| Object | Japanese animation |
—
|
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: Japanese animation | Statement: [Little Women (anime), animationOrigin, Japanese animation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animationOrigin Context triple: [Little Women (anime), animationOrigin, Japanese animation]
-
A.
movementOrigin
Indicates the starting point or source location from which a movement or displacement begins.
-
B.
centerOfOrigin
Indicates the place or region where something (such as a species, product, idea, or movement) originally began or was first developed.
-
C.
coordinateOrigin
Indicates the reference point in space from which a coordinate system’s positions or measurements are defined.
-
D.
apparentShapeOrigin
Indicates that the perceived or apparent shape of an object is attributed to or originates from a specified source or cause.
-
E.
scriptDirectionOrigin
Indicates the original writing direction (such as left-to-right or right-to-left) from which a script’s layout or orientation is derived.
- F. None of above. chosen
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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77080317881909fc50ac3576cefa8 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:22 p.m.