Triple
T11251545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreisau Circle |
E266330
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Max Hass
Max Hass was a German member of the anti-Nazi resistance group known as the Kreisau Circle during World War II.
|
E914335
|
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: Max Hass | Statement: [Kreisau Circle, notableMember, Max Hass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Hass Context triple: [Kreisau Circle, notableMember, Max Hass]
-
A.
Harold Huth
Harold Huth was a British film director, producer, and occasional actor active in the mid-20th century, known for his work in the British studio system.
-
B.
Louis Lingg
Louis Lingg was a German-born anarchist and labor activist best known as one of the defendants in the 1886 Haymarket affair in Chicago.
-
C.
Rudolf Garrels
Rudolf Garrels was an 18th-century Dutch organ builder known for constructing and maintaining notable church organs in the Netherlands.
-
D.
Karl Glusman
Karl Glusman is an American actor known for his roles in films like "Love" and "Nocturnal Animals" and the television miniseries "Devs."
-
E.
Paul Christman
Paul Christman was an American football quarterback who became a prominent television sportscaster in the 1950s and 1960s.
- 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: Max Hass Triple: [Kreisau Circle, notableMember, Max Hass]
Generated description
Max Hass was a German member of the anti-Nazi resistance group known as the Kreisau Circle during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Hass Target entity description: Max Hass was a German member of the anti-Nazi resistance group known as the Kreisau Circle during World War II.
-
A.
Harold Huth
Harold Huth was a British film director, producer, and occasional actor active in the mid-20th century, known for his work in the British studio system.
-
B.
Louis Lingg
Louis Lingg was a German-born anarchist and labor activist best known as one of the defendants in the 1886 Haymarket affair in Chicago.
-
C.
Rudolf Garrels
Rudolf Garrels was an 18th-century Dutch organ builder known for constructing and maintaining notable church organs in the Netherlands.
-
D.
Karl Glusman
Karl Glusman is an American actor known for his roles in films like "Love" and "Nocturnal Animals" and the television miniseries "Devs."
-
E.
Paul Christman
Paul Christman was an American football quarterback who became a prominent television sportscaster in the 1950s and 1960s.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc8599588190b510cf888ec42e34 |
completed | April 19, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69e4d9eb79608190b7ed108906f4e2bf |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4df50eebc8190a4fe0aba7dc9fa62 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:31 p.m.