Triple
T2616828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COBRA movement |
E58906
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Lucebert
Lucebert was a Dutch poet and painter renowned as a leading figure of the postwar avant-garde and experimental COBRA art movement.
|
E284848
|
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: Lucebert | Statement: [COBRA movement, notableMember, Lucebert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucebert Context triple: [COBRA movement, notableMember, Lucebert]
-
A.
Bruno Poet
Bruno Poet is an acclaimed British lighting designer known for his innovative work in theatre, opera, and live music productions.
-
B.
Tristan Tzara
Tristan Tzara was a Romanian-French avant-garde poet and essayist best known as a founding figure of the Dada movement and an influential precursor to Surrealism.
-
C.
Lierneux
Lierneux is a rural municipality in the province of Liège in Wallonia, Belgium, known for its forests, valleys, and quiet countryside.
-
D.
Gisin
Gisin is a Swiss surname most notably associated with alpine ski racers such as Olympic champion Dominique Gisin.
-
E.
Benjamin Péret
Benjamin Péret was a French poet and staunch political radical best known as one of the central literary figures of the Surrealist movement.
- 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: Lucebert Triple: [COBRA movement, notableMember, Lucebert]
Generated description
Lucebert was a Dutch poet and painter renowned as a leading figure of the postwar avant-garde and experimental COBRA art movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucebert Target entity description: Lucebert was a Dutch poet and painter renowned as a leading figure of the postwar avant-garde and experimental COBRA art movement.
-
A.
Bruno Poet
Bruno Poet is an acclaimed British lighting designer known for his innovative work in theatre, opera, and live music productions.
-
B.
Tristan Tzara
Tristan Tzara was a Romanian-French avant-garde poet and essayist best known as a founding figure of the Dada movement and an influential precursor to Surrealism.
-
C.
Lierneux
Lierneux is a rural municipality in the province of Liège in Wallonia, Belgium, known for its forests, valleys, and quiet countryside.
-
D.
Gisin
Gisin is a Swiss surname most notably associated with alpine ski racers such as Olympic champion Dominique Gisin.
-
E.
Benjamin Péret
Benjamin Péret was a French poet and staunch political radical best known as one of the central literary figures of the Surrealist movement.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af9088d23c81908927eba84556f90c |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af946baa4c819081f93662f723cf0e |
completed | March 10, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af94c8da208190b8a541e2fc739827 |
completed | March 10, 2026, 3:49 a.m. |
Created at: March 6, 2026, 9:50 p.m.