Triple
T7778111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quai des Orfèvres |
E221444
|
entity |
| Predicate | hasGenreAsSetting |
P78941
|
FINISHED |
| Object | crime fiction |
—
|
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: crime fiction | Statement: [Quai des Orfèvres, hasGenreAsSetting, crime fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreAsSetting Context triple: [Quai des Orfèvres, hasGenreAsSetting, crime fiction]
-
A.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
-
B.
hasGenreList
Indicates that an entity is associated with a set or list of genres that categorize or describe it.
-
C.
hasStageGenre
Indicates a relationship where a stage production or performance is associated with a particular theatrical or performance genre.
-
D.
hasCanonicalGenre
Indicates that an entity is associated with its primary or officially recognized genre classification.
-
E.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
- F. None of above. chosen
Provenance (4 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
| PDg | Predicate description generation | batch_69cae7e47c5c8190bca90d45b3cdc25e |
completed | March 30, 2026, 9:15 p.m. |
Created at: March 30, 2026, 4:16 p.m.