Triple
T12299721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Sharpsteen |
E293186
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fantasia |
E59661
|
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: Fantasia | Statement: [Ben Sharpsteen, notableWork, Fantasia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fantasia Context triple: [Ben Sharpsteen, notableWork, Fantasia]
-
A.
Fantasia
chosen
Fantasia is a groundbreaking 1940 animated musical film by Walt Disney that combines classical music with innovative animation in a series of imaginative segments.
-
B.
Fantasia
Fantasia is an experimental music collective known for its avant-garde collaborations and innovative sound explorations.
-
C.
Fantasia
Fantasia is an American R&B and soul singer who rose to fame as the winner of the third season of "American Idol" and is known for her powerful, gospel-infused vocals.
-
D.
Fantasia (album)
Fantasia is the self-titled second studio album by American Idol winner Fantasia Barrino, showcasing her blend of R&B, soul, and contemporary urban music.
-
E.
Dumbo
Dumbo is the nickname of the Curtiss C-46 Commando, a World War II-era American military transport aircraft known for its large cargo capacity and service in challenging flying conditions.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93eda55148190b720e479163d36e7 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ce31808190b66bd0ba1d9d2862 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:53 p.m.