Triple
T28510327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Rogêt |
E721464
|
entity |
| Predicate | associatedWithDetective |
P203376
|
FINISHED |
| Object | C. Auguste Dupin |
—
|
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: C. Auguste Dupin | Statement: [Marie Rogêt, associatedWithDetective, C. Auguste Dupin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithDetective Context triple: [Marie Rogêt, associatedWithDetective, C. Auguste Dupin]
-
A.
hasClericalDetective
Indicates that an entity includes or is associated with a detective who is also a member of the clergy.
-
B.
detectiveType
Indicates that one entity is classified as a particular type or category of detective in relation to another entity.
-
C.
associatedWithLawEnforcementAgency
Indicates that an entity has a formal connection, role, or involvement with a law enforcement agency.
-
D.
companionOfDetective
Indicates a relationship where one entity serves as the detective’s close associate or partner, typically accompanying and assisting them in their investigative work.
-
E.
detectiveMethod
Indicates that one entity uses or is associated with a particular method or technique in the context of detective work or investigation.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a017114e7148190b7479284c316443d |
completed | May 11, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_6a016eebd60481909212e2a49ef95fbe |
completed | May 11, 2026, 5:53 a.m. |
| PDg | Predicate description generation | batch_6a0171143bd081909b68cca366b4dfb0 |
completed | May 11, 2026, 6:03 a.m. |
Created at: April 28, 2026, 3:11 a.m.