Triple

T3988795
Position Surface form Disambiguated ID Type / Status
Subject Carnivàle E86936 entity
Predicate starring P1507 FINISHED
Object Patrick Bauchau E127501 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: Patrick Bauchau | Statement: [Carnivàle, starring, Patrick Bauchau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Bauchau
Context triple: [Carnivàle, starring, Patrick Bauchau]
  • A. Patrick Bauchau chosen
    Patrick Bauchau is a Belgian actor known for his character roles in international films and television series, including the thriller "Panic Room."
  • B. Antoine Predock
    Antoine Predock is an American architect renowned for his expressive, landscape-inspired designs, including major cultural and civic projects around the world.
  • C. Philippe Rousselot
    Philippe Rousselot is an acclaimed French cinematographer known for his visually distinctive work on numerous major films across several decades.
  • D. Jean-François Klein
    Jean-François Klein is a French engineer and architect known for his role in designing major large-scale infrastructure projects, including the Yavuz Sultan Selim Bridge in Istanbul.
  • E. 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.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa007344819099515fda367f7016 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403235408190b47b8d4f4e21d094 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.