Triple

T8767440
Position Surface form Disambiguated ID Type / Status
Subject The Talisman E208371 entity
Predicate protagonist P268 FINISHED
Object Kenneth of the Leopard E756683 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: Kenneth of the Leopard | Statement: [The Talisman, protagonist, Kenneth of the Leopard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth of the Leopard
Context triple: [The Talisman, protagonist, Kenneth of the Leopard]
  • A. Kenneth of the Leopard chosen
    Kenneth of the Leopard is a fictional Scottish knight and loyal follower of King Richard I in Sir Walter Scott’s historical novel "The Talisman."
  • B. Dulliken
    Dulliken is a municipality in the canton of Solothurn in Switzerland, located in the Olten district.
  • C. Lion of Lucerne
    The Lion of Lucerne is a famous rock relief sculpture in Lucerne, Switzerland, commemorating the Swiss Guards who were massacred during the French Revolution.
  • D. Jean Lion
    Jean Lion was a French industrialist best known as the second husband of American-born entertainer and civil rights activist Josephine Baker.
  • E. Gaheris
    Gaheris is a knight of the Round Table in Arthurian legend, known as one of King Arthur’s nephews and a member of the Orkney clan.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eeae70c8190adc2bc2846da0fbf completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f1bf97c8190a158a38bd2babb83 completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:41 p.m.