Triple
T15166084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camoufleur |
E362343
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Markus Popp |
E1141607
|
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: Markus Popp | Statement: [Camoufleur, hasContributor, Markus Popp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markus Popp Context triple: [Camoufleur, hasContributor, Markus Popp]
-
A.
Markus Popp
chosen
Markus Popp is a pioneering German electronic musician best known for his influential glitch and experimental project Oval.
-
B.
Jacob Weidenmann
Jacob Weidenmann was a 19th-century Swiss-American landscape architect known for designing prominent public parks and urban green spaces in the United States.
-
C.
Stefan Schnabel
Stefan Schnabel was a German-American actor best known for his long-running role as Dr. Stephen Jackson on the soap opera "The Guiding Light."
-
D.
Markus Häußler
Markus Häußler is a German local politician who serves as the mayor of the municipality of Illerkirchberg in Baden-Württemberg.
-
E.
Markus Häußler
Markus Häußler is a German local politician who serves as the mayor of the town of Munderkingen in Baden-Württemberg.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3286a2c8190ac73b68cefd0191d |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:08 a.m.