Triple
T29198171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calligrammes |
E740185
|
entity |
| Predicate | authorRoleOfGuillaumeApollinaire |
P36129
|
FINISHED |
| Object | French poet |
—
|
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: French poet | Statement: [Calligrammes, authorRoleOfGuillaumeApollinaire, French poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorRoleOfGuillaumeApollinaire Context triple: [Calligrammes, authorRoleOfGuillaumeApollinaire, French poet]
-
A.
poetAssociated
Indicates a relationship where a poet is connected or linked to another entity, such as a work, place, movement, or person, through relevance, collaboration, influence, or affiliation.
-
B.
authorOfWorkAbout
Indicates that one entity is the author or creator of a work whose subject or content is about another entity.
-
C.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
-
D.
literaryAuthor
chosen
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
E.
poemAuthor
Indicates that one entity is the author or creator of a poem represented by the other entity.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 28, 2026, 12:05 p.m.