Triple
T35119882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six of Crows |
E1014137
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Matthias Helvar
Matthias Helvar is a former Fjerdan drüskelle (witch-hunter) whose conflicted loyalties, strict moral code, and evolving relationship with a Grisha Heartrender define much of the emotional and ideological tension in Leigh Bardugo’s Six of Crows duology.
|
E2126523
|
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: Matthias Helvar | Statement: [Six of Crows, mainCharacter, Matthias Helvar]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matthias Helvar Triple: [Six of Crows, mainCharacter, Matthias Helvar]
Generated description
Matthias Helvar is a former Fjerdan drüskelle (witch-hunter) whose conflicted loyalties, strict moral code, and evolving relationship with a Grisha Heartrender define much of the emotional and ideological tension in Leigh Bardugo’s Six of Crows duology.
Provenance (5 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78c3d5fd081908b2a17bce9c57a50 |
completed | May 3, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d00513f48190b878a74b9346f423 |
completed | June 21, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a37d0c6633c81909a7d803ece43f548 |
completed | June 21, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37d3792f2c81909ae28634bbc0c47a |
completed | June 21, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.