Triple

T19235436
Position Surface form Disambiguated ID Type / Status
Subject Martita Hunt E480979 entity
Predicate givenName P17 FINISHED
Object Martita NE NERFINISHED

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: Martita | Statement: [Martita Hunt, givenName, Martita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martita
Context triple: [Martita Hunt, givenName, Martita]
  • A. Martita chosen
    Martita is a Spanish affectionate diminutive form of the given name Marta, often used to express endearment or familiarity.
  • B. María de Lourdes Santiago
    María de Lourdes Santiago is a Puerto Rican lawyer, politician, and prominent pro-independence leader who has served as a key figure and electoral candidate for the Puerto Rican Independence Party.
  • C. Mercedes Colomar
    Mercedes Colomar is a central character in the noir-inspired adventure game Grim Fandango, known as the virtuous and resourceful soul whom protagonist Manny Calavera strives to protect and accompany through the Land of the Dead.
  • D. Martina
    Martina was a Byzantine empress and the second wife of Emperor Heraclius, known for her controversial influence at court and her role in the empire’s turbulent 7th-century politics.
  • E. Martina
    Martina is a feminine given name of Latin origin, commonly used in many European and Spanish-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faec6d0c8190b90cb1bb3160a847 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.