Triple
T12060915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Bluth |
E287165
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Thumbelina |
E630016
|
NE 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: Thumbelina | Statement: [Don Bluth, directed, Thumbelina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thumbelina Context triple: [Don Bluth, directed, Thumbelina]
-
A.
Thumbelina
chosen
Thumbelina is a classic fairy tale about a tiny girl and her adventures, written by Danish author Hans Christian Andersen.
-
B.
The Snow Queen
The Snow Queen is an 1844 fairy tale by Hans Christian Andersen about a powerful, cold-hearted queen and the perilous journey of a young girl to rescue her friend from the queen’s icy realm.
-
C.
The Snow Queen
The Snow Queen is a novel by Michael Cunningham that intertwines the lives of two brothers in contemporary New York as they grapple with love, illness, and spiritual longing.
-
D.
The Ugly Duckling
"The Ugly Duckling" is a classic fairy tale by Hans Christian Andersen about an outcast young bird who grows into a beautiful swan, symbolizing personal transformation and the discovery of inner worth.
-
E.
Gänseliesel
Gänseliesel is a famous fountain statue in Göttingen, Germany, traditionally kissed by newly graduated students and considered one of the city’s most beloved landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043f82248190b05692aa0dc178a8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6532a048190b53f96c9df948dda |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.