Triple

T5651244
Position Surface form Disambiguated ID Type / Status
Subject The Mandrake E124513 entity
Predicate character P662 FINISHED
Object Timoteo E226289 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: Timoteo | Statement: [The Mandrake, character, Timoteo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timoteo
Context triple: [The Mandrake, character, Timoteo]
  • A. Timoteo chosen
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • B. Teofilo
    Teofilo is a champion Irish-bred Thoroughbred racehorse and successful sire known for his unbeaten two-year-old season and influential stud career.
  • C. Teofilo
    Teofilo is an elderly Pueblo man whose death and traditional burial rituals are central to the themes of cultural identity and conflict in Leslie Marmon Silko’s short story "The Man to Send Rain Clouds."
  • D. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • E. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d6af9481909eaeead2a39525ce completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097d7e0fc81909f051f8789ef9fb9 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:42 p.m.