Triple
T2386466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitzwilliam Darcy |
E48834
|
entity |
| Predicate | inspiredCharacterType |
P2004
|
FINISHED |
| Object | Byronic gentleman archetype |
—
|
LITERAL 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: Byronic gentleman archetype | Statement: [Fitzwilliam Darcy, inspiredCharacterType, Byronic gentleman archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredCharacterType Context triple: [Fitzwilliam Darcy, inspiredCharacterType, Byronic gentleman archetype]
-
A.
characterBasedOn
chosen
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
B.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
C.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
D.
influencesCharacter
Indicates that one entity affects, shapes, or alters the traits, behavior, or development of another entity’s character.
-
E.
musicalCharacter
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
- F. None of above.
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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7d9d8148190bb8aa16fd4364aba |
completed | March 7, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.