Triple
T17182290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmitz |
E417012
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object | Biedermann |
E1254385
|
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: Biedermann | Statement: [Schmitz, conflictWith, Biedermann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biedermann Context triple: [Schmitz, conflictWith, Biedermann]
-
A.
Biedermann
chosen
Biedermann is the central, complacent bourgeois protagonist in Max Frisch’s play "Biedermann und die Brandstifter," symbolizing willful ignorance in the face of rising danger.
-
B.
Mr. Krupp
Mr. Krupp is the grumpy elementary school principal who unknowingly transforms into the goofy superhero Captain Underpants in Dav Pilkey’s children’s book series.
-
C.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
-
D.
Tebbe
Tebbe is a German surname that serves as the etymological root for the name Tibbets.
-
E.
Mr. Keuner
Mr. Keuner is a philosophical everyman figure created by Bertolt Brecht, used in a series of parable-like stories to explore ethical, political, and existential questions.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d934ec08190acc47073758ac3c0 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fca04cc8190a9df230078fbe268 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.