Triple
T12759652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Narciso |
E304956
|
entity |
| Predicate | connectedToCharacter |
P37306
|
FINISHED |
| Object | Metzger |
E218303
|
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: Metzger | Statement: [San Narciso, connectedToCharacter, Metzger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metzger Context triple: [San Narciso, connectedToCharacter, Metzger]
-
A.
Metzger
chosen
Metzger is a German-origin surname borne by various notable individuals across fields such as theology, music, and the arts.
-
B.
Metzling
Metzling is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
-
C.
Matzelsberger
Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
-
D.
Metzeresche
Metzeresche is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
-
E.
Mitwitz
Mitwitz is a small market town in northern Bavaria, Germany, known for its historic moated castle and scenic location in the Franconian Forest region.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8d3eb08190ae998df5cc6d9ba6 |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c9c93248190b77c7d229da64ffb |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.