Triple
T17182304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisenring |
E417013
|
entity |
| Predicate | hasAlly |
P600
|
FINISHED |
| Object |
Schmitz
Schmitz is a character who serves as an ally and accomplice to Eisenring in Friedrich Dürrenmatt’s play "The Visit."
|
E1255754
|
NE FINISHED |
How this triple was built (4 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: [Eisenring, hasAlly, Schmitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmitz Context triple: [Eisenring, hasAlly, Schmitz]
-
A.
Schmitz
Schmitz is one of the two manipulative arsonists who infiltrate the bourgeois household in Max Frisch’s play "Biedermann und die Brandstifter."
-
B.
Wülpke
Wülpke is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
-
C.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
D.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
E.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Schmitz Triple: [Eisenring, hasAlly, Schmitz]
Generated description
Schmitz is a character who serves as an ally and accomplice to Eisenring in Friedrich Dürrenmatt’s play "The Visit."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schmitz Target entity description: Schmitz is a character who serves as an ally and accomplice to Eisenring in Friedrich Dürrenmatt’s play "The Visit."
-
A.
Schmitz
Schmitz is one of the two manipulative arsonists who infiltrate the bourgeois household in Max Frisch’s play "Biedermann und die Brandstifter."
-
B.
Wülpke
Wülpke is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
-
C.
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
D.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
E.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_6a0161e5f6f0819083c57feac088f531 |
completed | May 11, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162785e7081908d57801eeae7cf67 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.