Triple
T20554442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harpagon |
E504678
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object | Frosine |
—
|
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: Frosine | Statement: [Harpagon, conflictWith, Frosine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frosine Context triple: [Harpagon, conflictWith, Frosine]
-
A.
Frosine
chosen
Frosine is a clever, manipulative go-between and matchmaker in Molière’s comedy "L’Avare," known for scheming to her own advantage.
-
B.
Flamierge
Flamierge is a small village in the municipality of Bertogne in the Luxembourg province of Wallonia, Belgium.
-
C.
Sitta
Sitta is a genus of small, agile passerine birds known as nuthatches, characterized by their ability to climb down tree trunks headfirst.
-
D.
Murg
The Murg is a river in Germany’s Black Forest region, known for its steep valleys, hydroelectric use, and scenic landscapes.
-
E.
Gruis
Gruis is the Latin genitive form of Grus, the name of a southern constellation representing a crane.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dbe96c8190a278dfefdb4a5c43 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.