Triple
T18496157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studio Ghibli |
E451953
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Arrietty |
—
|
NE NERFINISHED |
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: Arrietty | Statement: [Studio Ghibli, notableWork, Arrietty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arrietty Context triple: [Studio Ghibli, notableWork, Arrietty]
-
A.
Arrietty
chosen
Arrietty is a 2010 Japanese animated fantasy film by Studio Ghibli, based on Mary Norton's novel "The Borrowers," about a tiny girl who lives secretly beneath a human household.
-
B.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
C.
Bedous
Bedous is a small commune in southwestern France, situated in the Pyrenean Aspe Valley near the Spanish border.
-
D.
Pulotu
Pulotu is the ancestral Polynesian underworld or spirit realm, often depicted as a distant island paradise associated with gods and the afterlife.
-
E.
Tinka
Tinka is a literary work by German writer Volker Braun, known for its engagement with socialist themes and critical reflection on East German society.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c09a8081909cf0b44df3682bb8 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:35 a.m.