Triple
T13394078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality |
E319652
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Gessler
Gessler is a fictional character best known as the tyrannical Austrian bailiff and antagonist in the William Tell legend.
|
E1039519
|
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: Gessler | Statement: [Quality, mainCharacter, Gessler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gessler Context triple: [Quality, mainCharacter, Gessler]
-
A.
Willy Hameister
Willy Hameister was a German cinematographer best known for his influential work on early Expressionist cinema, including the landmark film "The Cabinet of Dr. Caligari."
-
B.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
C.
Albin Schelbert
Albin Schelbert is a mountaineer known for being part of the team that made the first successful ascent of Dhaulagiri, one of the world’s highest peaks.
-
D.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
E.
Ottmar
Ottmar is a German former football player and highly successful manager best known for leading Borussia Dortmund and Bayern Munich to numerous domestic and European titles.
- 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: Gessler Triple: [Quality, mainCharacter, Gessler]
Generated description
Gessler is a fictional character best known as the tyrannical Austrian bailiff and antagonist in the William Tell legend.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gessler Target entity description: Gessler is a fictional character best known as the tyrannical Austrian bailiff and antagonist in the William Tell legend.
-
A.
Willy Hameister
Willy Hameister was a German cinematographer best known for his influential work on early Expressionist cinema, including the landmark film "The Cabinet of Dr. Caligari."
-
B.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
C.
Albin Schelbert
Albin Schelbert is a mountaineer known for being part of the team that made the first successful ascent of Dhaulagiri, one of the world’s highest peaks.
-
D.
Werneck
Werneck is a market town in the Schweinfurt district of northern Bavaria, Germany, known for its baroque palace and surrounding rural landscape.
-
E.
Ottmar
Ottmar is a German former football player and highly successful manager best known for leading Borussia Dortmund and Bayern Munich to numerous domestic and European titles.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306fb8348190a325a07a1ac858fd |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f731c912708190af0249952e8824fb |
completed | May 3, 2026, 11:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732c14f5c8190afd989200d250783 |
completed | May 3, 2026, 11:34 a.m. |
Created at: April 9, 2026, 9:34 p.m.