Triple

T11382224
Position Surface form Disambiguated ID Type / Status
Subject I've Loved You So Long E269623 entity
Predicate starring P1507 FINISHED
Object Frédéric Pierrot E855334 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: Frédéric Pierrot | Statement: [I've Loved You So Long, starring, Frédéric Pierrot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frédéric Pierrot
Context triple: [I've Loved You So Long, starring, Frédéric Pierrot]
  • A. Frédéric Pierrot chosen
    Frédéric Pierrot is a French actor known for his work in both film and television, often appearing in character-driven dramas and auteur cinema.
  • B. Édouard Dujardin
    Édouard Dujardin was a French writer and critic known for pioneering the interior monologue narrative technique that influenced modernist authors like James Joyce.
  • C. Marcel Fournier
    Marcel Fournier was a French businessman best known as a co-founder of the multinational retail corporation Carrefour, a pioneer of the modern hypermarket concept.
  • D. Guillaumin
    Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
  • E. Xavier Fabre
    Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc331f188190a7f69f1aae53fb6b completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a99c8c8190b7439a548216e648 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:34 p.m.