Triple
T14748584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Witch, Spider King |
E346538
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sogolon |
E1118000
|
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: Sogolon | Statement: [Moon Witch, Spider King, mainCharacter, Sogolon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sogolon Context triple: [Moon Witch, Spider King, mainCharacter, Sogolon]
-
A.
Sogolon
chosen
Sogolon is the central character of Marlon James's fantasy novel "Moon Witch, Spider King," depicted as a powerful and long-lived witch navigating a brutal, mythic African-inspired world.
-
B.
Tashmetu
Tashmetu is a Mesopotamian goddess associated with mercy and the granting of prayers, venerated alongside the god Nabu.
-
C.
Princess Ahmanet
Princess Ahmanet is the vengeful ancient Egyptian royal and primary antagonist in the 2017 film "The Mummy."
-
D.
Zeleia
Zeleia was an ancient city in the region of Mysia in northwestern Asia Minor, known from classical Greek and Roman historical and geographical sources.
-
E.
Nanisca
Nanisca is a fierce and strategic general of the all-female Agojie warriors in the historical epic film "The Woman King."
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d2e1748190b16ede681fe52872 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce843a481908f376172d4a8b70a |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.