Triple
T9264522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama |
E222662
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Malingen |
E788331
|
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: Malingen | Statement: [Mama, givenName, Malingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malingen Context triple: [Mama, givenName, Malingen]
-
A.
Malingen
chosen
Malingen is an alternative name for the artist or individual known as Mama.
-
B.
Mülbracht
Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
-
C.
Balingen
Balingen is a town in the Zollernalb district of Baden-Württemberg in southwestern Germany, known for its location on the Swabian Jura and its mix of industrial and residential character.
-
D.
Münnich
Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
-
E.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0748a1f481909d9d876692cefccc |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1e30c648190a2c6a8c4c6da390c |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:32 p.m.