Triple
T29588751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le temps des cathédrales |
E754095
|
entity |
| Predicate | originalCastPerformerRole |
P151606
|
FINISHED |
| Object | Gringoire |
—
|
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: Gringoire | Statement: [Le temps des cathédrales, originalCastPerformerRole, Gringoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCastPerformerRole Context triple: [Le temps des cathédrales, originalCastPerformerRole, Gringoire]
-
A.
originalCastPerformer
Indicates that a performer was part of the original cast in the first production or release of a work.
-
B.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
C.
mainCastMemberRole
Indicates that an entity’s role specifies the character or position they portray as a principal member of a production’s main cast.
-
D.
originalLeadActorRole
chosen
Indicates the role originally played by a particular lead actor in a given production or work.
-
E.
leadRoleActor
Indicates that an actor performs a leading or principal role in a 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 28, 2026, 6:12 p.m.