Triple
T17182344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fire Raisers |
E417014
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Schmitz |
E417012
|
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: Schmitz | Statement: [The Fire Raisers, mainCharacter, Schmitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmitz Context triple: [The Fire Raisers, mainCharacter, Schmitz]
-
A.
Schmitz
chosen
Schmitz is one of the two manipulative arsonists who infiltrate the bourgeois household in Max Frisch’s play "Biedermann und die Brandstifter."
-
B.
Schmitz
Schmitz is a character who serves as an ally and accomplice to Eisenring in Friedrich Dürrenmatt’s play "The Visit."
-
C.
Wülpke
Wülpke is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
-
D.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
E.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
- 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_6a016747a8908190a7ce1408abc70c47 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:37 a.m.