Triple
T3391478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tempest |
E71428
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Prospero |
E345026
|
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: Prospero | Statement: [The Tempest, featuresCharacter, Prospero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prospero Context triple: [The Tempest, featuresCharacter, Prospero]
-
A.
Prospero
Prospero is the internal codename that was reportedly used by Sony during the development of the PlayStation 5 console.
-
B.
Prospero
chosen
Prospero is the powerful sorcerer and rightful Duke of Milan who orchestrates the events on a remote island in Shakespeare’s play "The Tempest."
-
C.
Caliban
Caliban is a central character in Shakespeare’s play "The Tempest," often depicted as a brutish, subjugated island native whose earthy, instinctual nature contrasts with the play’s more ethereal and civilized figures.
-
D.
Ariel
Ariel is a posthumously published poetry collection by Sylvia Plath that is widely regarded as her most powerful and influential work.
-
E.
Ariel
Ariel is a leading global laundry detergent brand known for its stain-removal performance and wide range of fabric care products.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb850594c81909b6f8a384fc98cb2 |
completed | March 8, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3345bfbc88190b1189bef9f2cd73f |
completed | March 12, 2026, 9:47 p.m. |
Created at: March 8, 2026, 3:14 p.m.