Triple
T14690999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caliban |
E345031
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Sycorax |
E345027
|
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: Sycorax | Statement: [Caliban, relative, Sycorax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sycorax Context triple: [Caliban, relative, Sycorax]
-
A.
Sycorax
chosen
Sycorax is a powerful and malevolent witch, unseen but pivotal in Shakespeare’s play "The Tempest," known as the original ruler of the island and former master of both Ariel and Caliban.
-
B.
Lalage
Lalage is a genus of small to medium-sized passerine birds commonly known as trillers, found mainly in Australasia and the Indo-Pacific and belonging to the cuckooshrike family.
-
C.
Ianthe
Ianthe is a central fictional character associated with the fairy realm in works featuring the figure of Queen Mab.
-
D.
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.
-
E.
Damona
Damona is a main character on the sitcom "Dr. Ken," known as Ken's sharp-tongued, loyal receptionist and friend.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08274ac8190b5ba0752d36a690b |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.