Triple

T8042854
Position Surface form Disambiguated ID Type / Status
Subject Surrealist Group in Paris E187477 entity
Predicate hasMember P10 FINISHED
Object Philippe Soupault E285645 NE FINISHED

How this triple was built (2 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: Philippe Soupault | Statement: [Surrealist Group in Paris, hasMember, Philippe Soupault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Soupault
Context triple: [Surrealist Group in Paris, hasMember, Philippe Soupault]
  • A. Philippe Soupault chosen
    Philippe Soupault was a French writer and poet who co-founded the Surrealist movement and played a crucial role in developing early 20th-century avant-garde literature.
  • B. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • C. Michel Pinseau
    Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
  • D. Philippe Rousselot
    Philippe Rousselot is an acclaimed French cinematographer known for his visually distinctive work on numerous major films across several decades.
  • E. Alain Glavieux
    Alain Glavieux was a French engineer and information theorist best known as a co-inventor of turbo codes, a breakthrough in error-correcting coding that revolutionized digital communications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f49dcfc81909ac7c93e19ad05c2 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe4ca4cc8190a664968334225087 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:23 p.m.