Triple

T9826914
Position Surface form Disambiguated ID Type / Status
Subject Jacques Dillon E238678 entity
Predicate name P16 FINISHED
Object Jacques Dillon E238678 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: Jacques Dillon | Statement: [Jacques Dillon, name, Jacques Dillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacques Dillon
Context triple: [Jacques Dillon, name, Jacques Dillon]
  • A. Jacques Dillon chosen
    Jacques Dillon was an architect best known for designing Paris’s iconic pedestrian bridge, the Pont des Arts, which spans the River Seine near the Louvre.
  • B. Al Bennett
    Al Bennett was an American music industry executive best known as the founder and longtime leader of the influential record label Liberty Records.
  • C. John Laroche
    John Laroche is a real-life eccentric plant dealer and orchid poacher whose obsessive personality and legal troubles inspired a central character in the film and book "Adaptation."
  • D. Laurie Juspeczyk
    Laurie Juspeczyk is a central character in the Watchmen universe, a costumed vigilante known as the second Silk Spectre and a key emotional anchor in the story’s exploration of power and morality.
  • E. Dick Foran
    Dick Foran was an American actor and singer best known for his roles in 1930s and 1940s Westerns and adventure films.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb324e7848190b9424a78ca653afe completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc88a86c819088f259a049eec4db completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:32 p.m.