Triple
T23150242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stone Sky |
E578302
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Nassun |
—
|
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: Nassun | Statement: [The Stone Sky, mainCharacter, Nassun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nassun Context triple: [The Stone Sky, mainCharacter, Nassun]
-
A.
Nassun
chosen
Nassun is a central character in N.K. Jemisin's The Broken Earth trilogy, a powerful young orogene whose tumultuous relationship with her mother and evolving abilities drive much of the series' emotional and thematic core.
-
B.
Nahila
Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
-
C.
Nassim
Nassim is the first name of Nassim Nicholas Taleb, a Lebanese-American scholar, statistician, and former trader known for his work on risk, probability, and uncertainty.
-
D.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
E.
Sahnaya
Sahnaya is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ed1a258819091ce86dbd1c51e46 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.