Triple

T5778443
Position Surface form Disambiguated ID Type / Status
Subject Patrick Bauchau E127501 entity
Predicate name P16 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: [Patrick Bauchau, name, Patrick Bauchau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Bauchau
Context triple: [Patrick Bauchau, name, 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. Eric Feron
    Eric Feron is an aerospace engineer and control theorist known for his work on optimization and control applications in aerospace systems.
  • C. Antoine Predock
    Antoine Predock is an American architect renowned for his expressive, landscape-inspired designs, including major cultural and civic projects around the world.
  • D. Philippe Rousselot
    Philippe Rousselot is an acclaimed French cinematographer known for his visually distinctive work on numerous major films across several decades.
  • E. 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.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e107348190a03086f1cbfae0d3 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e735f408190b188b94131f1e51b completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.