Triple
T12121624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tale of the bandits and Charite |
E288708
|
entity |
| Predicate | hasProtagonist |
P8706
|
FINISHED |
| Object | Charite |
E965816
|
NE 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: Charite | Statement: [Tale of the bandits and Charite, hasProtagonist, Charite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charite Context triple: [Tale of the bandits and Charite, hasProtagonist, Charite]
-
A.
Charite
chosen
Charite is a virtuous and long-suffering noblewoman in Apuleius’ *The Golden Ass*, whose abduction and trials are recounted in the embedded “Tale of the Bandits and Charite.”
-
B.
Guerin
Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
-
C.
Belhus
Belhus is a residential area and country park in Thurrock, Essex, known for its green spaces and proximity to nearby transport links.
-
D.
Kaiserswerth
Kaiserswerth is a historic district in northern Düsseldorf, Germany, known for its medieval castle ruins and picturesque old town along the Rhine River.
-
E.
Cité
Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91578fd88819099adf55c93d549fc |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a77e3588190bf84b3c3aa311641 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.