Triple
T21839822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladurlad |
E539223
|
entity |
| Predicate | opposes |
P437
|
FINISHED |
| Object | Kehama |
—
|
NE NERFINISHED |
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: [Ladurlad, opposes, Kehama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kehama Context triple: [Ladurlad, opposes, 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.
Skhira
Skhira is a coastal town in southeastern Tunisia known for its port facilities and role in the regional oil and chemical industries.
-
C.
Kuraine
Kuraine is the alias of Lena Raine, a composer best known for her atmospheric and emotional video game soundtracks such as those for Celeste and Minecraft.
-
D.
Kfarakka
Kfarakka is a village in northern Lebanon situated within the Koura District, known for its agricultural character and traditional rural life.
-
E.
Marassi
Marassi is a residential district of Genoa, Italy, best known for hosting the historic Stadio Luigi Ferraris football stadium.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7aaa4f081909e869d2e81b07b91 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.