Triple
T12433336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Höch |
E297084
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Da-Dandy
Da-Dandy is a photomontage artwork by German Dada artist Hannah Höch that critiques gender roles and Weimar-era modernity through fragmented, collage-based imagery.
|
E981020
|
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: Da-Dandy | Statement: [Hannah Höch, notableWork, Da-Dandy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da-Dandy Context triple: [Hannah Höch, notableWork, Da-Dandy]
-
A.
Dandy Don
Dandy Don was the popular nickname of Don Meredith, a star Dallas Cowboys quarterback and pioneering color commentator on Monday Night Football.
-
B.
Dandy Dan
Dandy Dan is the sharply dressed, ruthless mob boss antagonist in the 1976 musical gangster film "Bugsy Malone."
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Hank the Deuce
Hank the Deuce is the nickname of Henry Ford II, the influential Ford Motor Company executive who led the automaker’s postwar revival and modernization.
-
E.
Daddy-O
Daddy-O is an American rapper and producer best known as a founding member of the influential hip hop group Stetsasonic.
- 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: Da-Dandy Triple: [Hannah Höch, notableWork, Da-Dandy]
Generated description
Da-Dandy is a photomontage artwork by German Dada artist Hannah Höch that critiques gender roles and Weimar-era modernity through fragmented, collage-based imagery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Da-Dandy Target entity description: Da-Dandy is a photomontage artwork by German Dada artist Hannah Höch that critiques gender roles and Weimar-era modernity through fragmented, collage-based imagery.
-
A.
Dandy Don
Dandy Don was the popular nickname of Don Meredith, a star Dallas Cowboys quarterback and pioneering color commentator on Monday Night Football.
-
B.
Dandy Dan
Dandy Dan is the sharply dressed, ruthless mob boss antagonist in the 1976 musical gangster film "Bugsy Malone."
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Hank the Deuce
Hank the Deuce is the nickname of Henry Ford II, the influential Ford Motor Company executive who led the automaker’s postwar revival and modernization.
-
E.
Daddy-O
Daddy-O is an American rapper and producer best known as a founding member of the influential hip hop group Stetsasonic.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d804c2c819082f2f86edcbb50de |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349d29c481909a37fd386cc06575 |
completed | May 2, 2026, 5:30 p.m. |
| NEDg | Description generation | batch_69f635c3782c8190ad9a1f7e3aa9748a |
completed | May 2, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d727a08190882eec3fd664b64d |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:55 p.m.