Triple

T15732013
Position Surface form Disambiguated ID Type / Status
Subject Clone High E381367 entity
Predicate mainCharacter P1183 FINISHED
Object Joan of Arc E85081 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: Joan of Arc | Statement: [Clone High, mainCharacter, Joan of Arc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan of Arc
Context triple: [Clone High, mainCharacter, Joan of Arc]
  • A. Joan of Arc chosen
    Joan of Arc was a French peasant girl turned military leader and Catholic saint who played a pivotal role in the Hundred Years’ War by inspiring French forces and supporting Charles VII’s claim to the throne before being executed for heresy.
  • B. Joan of Armagnac
    Joan of Armagnac was a 14th-century French noblewoman, Countess of Armagnac, who played a role in the intricate dynastic alliances of late medieval France.
  • C. Joan of Dampierre
    Joan of Dampierre was a noblewoman of the Dampierre family and a medieval French countess best known as the mother of Henry III, Count of Bar.
  • D. Judith of Évreux
    Judith of Évreux was a Norman noblewoman of the House of Évreux who became Countess of Sicily through her marriage into the ruling Hauteville dynasty.
  • E. Jeanne
    Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82fed7888190b45f28ac91e0079e completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.