Triple
T20442161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laichter House in Prague |
E501421
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Jan Laichter
Jan Laichter was a Czech publisher and cultural figure associated with early 20th-century literary and intellectual life in Prague.
|
E1478208
|
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: Jan Laichter | Statement: [Laichter House in Prague, namedAfter, Jan Laichter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Laichter Context triple: [Laichter House in Prague, namedAfter, Jan Laichter]
-
A.
Ken Lauber
Ken Lauber is an American composer and musician known for his film and television scores, blending elements of jazz, classical, and popular music.
-
B.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
C.
Dennis Lauscha
Dennis Lauscha is an American sports executive who serves as a top leader within the New Orleans professional sports organization, overseeing business operations for the Saints and related ventures.
-
D.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
E.
Paul Biegler
Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
- 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: Jan Laichter Triple: [Laichter House in Prague, namedAfter, Jan Laichter]
Generated description
Jan Laichter was a Czech publisher and cultural figure associated with early 20th-century literary and intellectual life in Prague.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Laichter Target entity description: Jan Laichter was a Czech publisher and cultural figure associated with early 20th-century literary and intellectual life in Prague.
-
A.
Ken Lauber
Ken Lauber is an American composer and musician known for his film and television scores, blending elements of jazz, classical, and popular music.
-
B.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
C.
Dennis Lauscha
Dennis Lauscha is an American sports executive who serves as a top leader within the New Orleans professional sports organization, overseeing business operations for the Saints and related ventures.
-
D.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
E.
Paul Biegler
Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f3b794819080745b135a305ba7 |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5a2d128819081763172f6214e27 |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a63fb6988190922458ad9e7b8a3a |
completed | May 17, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a696eabc8190936063b841039053 |
completed | May 17, 2026, 11:29 a.m. |
Created at: April 16, 2026, 11:32 a.m.