Triple
T5706563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Curse of Kehama |
E125796
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object | Kehama |
E539222
|
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: Kehama | Statement: [The Curse of Kehama, hasTitleCharacter, Kehama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kehama Context triple: [The Curse of Kehama, hasTitleCharacter, Kehama]
-
A.
Kehama
chosen
Kehama is the powerful and tyrannical sorcerer-rajah who serves as the central antagonist in Robert Southey’s epic poem "The Curse of Kehama."
-
B.
Kouloukonas
Kouloukonas is a mountain range in the Rethymno region of Crete, Greece, known for its rugged terrain and traditional Cretan landscapes.
-
C.
Kalloni
Kalloni is a town on the Greek island of Lesbos, known for its large bay, salt pans, and rich birdlife.
-
D.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
-
E.
Balasinor
Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097e866088190bc7e820226d6a8fd |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:45 p.m.