Triple
T2643948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Princess franchise |
E62941
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ariel |
E69087
|
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: Ariel | Statement: [Disney Princess franchise, hasPart, Ariel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariel Context triple: [Disney Princess franchise, hasPart, Ariel]
-
A.
Ariel
Ariel is a posthumously published poetry collection by Sylvia Plath that is widely regarded as her most powerful and influential work.
-
B.
Ariel
chosen
Ariel is a spirit of the air and a central supernatural character in William Shakespeare’s play "The Tempest."
-
C.
Ariel
Ariel is one of Uranus's major icy moons, known for its relatively bright surface and complex system of canyons and fault valleys.
-
D.
Calypso
Calypso is a nymph from Greek mythology best known for detaining the hero Odysseus on her island of Ogygia in Homer's Odyssey.
-
E.
Calypso
Calypso is a small Trojan moon of Saturn that shares Tethys’s orbit, residing near one of its stable Lagrange points.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd90046dc81908bab3440733f1e98 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c2bde8819085fbe1e5221be88d |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.