Triple
T17544065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Tailleur au château |
E427277
|
entity |
| Predicate | narrativeMedium |
P73019
|
FINISHED |
| Object | theatre |
—
|
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: theatre | Statement: [Le Tailleur au château, narrativeMedium, theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeMedium Context triple: [Le Tailleur au château, narrativeMedium, theatre]
-
A.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
B.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
C.
storyMedium
chosen
Indicates the medium or format through which a story is conveyed (e.g., book, film, audio).
-
D.
narrativeFormat
Indicates the specific structural or stylistic form in which a narrative is presented or expressed.
-
E.
narrativeTradition
Indicates the storytelling customs, conventions, or patterns that shape how narratives are typically told within a particular culture, group, or context.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545fe29c8190a586c75419fa14ea |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.