Triple
T37790667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucie de Mirecourt |
E942076
|
entity |
| Predicate | hasCharacterInSameWork |
P181008
|
FINISHED |
| Object | Alwina |
—
|
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: Alwina | Statement: [Lucie de Mirecourt, hasCharacterInSameWork, Alwina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterInSameWork Context triple: [Lucie de Mirecourt, hasCharacterInSameWork, Alwina]
-
A.
protagonistOfSameWork
chosen
Indicates that two entities both serve as protagonists within the same creative work or narrative.
-
B.
hasAuthorOfSameWorkAs
Indicates that two authors are related by having written or contributed to the same work.
-
C.
workBySameAuthorAs
Indicates that two works share the same author, i.e., they were created by the same person or entity.
-
D.
isCharacterInWork
Indicates that a particular character appears in or is part of a specified creative work (such as a book, film, or game).
-
E.
attestedInWorksOf
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.