Triple

T5697123
Position Surface form Disambiguated ID Type / Status
Subject Philippe Quinault E125566 entity
Predicate notableWork P4 FINISHED
Object Proserpine E133944 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: Proserpine | Statement: [Philippe Quinault, notableWork, Proserpine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Proserpine
Context triple: [Philippe Quinault, notableWork, Proserpine]
  • A. Proserpine chosen
    Proserpine is a French Baroque opera by Jean-Baptiste Lully, first performed in 1680 and based on the myth of Proserpina’s abduction to the underworld.
  • B. Proserpine
    Proserpine is a rural town in Queensland, Australia, known as a service and agricultural hub in the Whitsunday Region.
  • C. Philyra
    Philyra is an Oceanid nymph in Greek mythology best known as the mother of the centaur Chiron.
  • D. Attaleia
    Attaleia was an important ancient coastal city in the region of Pamphylia, in what is now southern Turkey, known for its strategic harbor and role in Mediterranean trade.
  • E. Aeno
    Aeno refers to the Eno people, an Indigenous group historically associated with the southeastern region of what is now the United States.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240d6c0c8190bf970c7652fd9573 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5996a08190860cb5fab57c31b5 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.