Triple

T4768061
Position Surface form Disambiguated ID Type / Status
Subject Fátima E105859 entity
Predicate associatedWith P37 FINISHED
Object Jacinta Marto E134862 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: Jacinta Marto | Statement: [Fátima, associatedWith, Jacinta Marto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacinta Marto
Context triple: [Fátima, associatedWith, Jacinta Marto]
  • A. Jacinta Marto chosen
    Jacinta Marto was a young Portuguese shepherd girl and one of the three child visionaries who reported seeing apparitions of the Virgin Mary in Fátima in 1917, later becoming a canonized Catholic saint.
  • B. Carmen Larbalestier
    Carmen Larbalestier is a British woman best known as the mother of seven-time Formula One World Champion Lewis Hamilton.
  • C. Jacqueline Cambas
    Jacqueline Cambas is a film editor known for her work on the movie "Now and Then."
  • D. Laura Martinozzi
    Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
  • E. Marlene Mathias
    Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6537eb80819096e0ae906c59d605 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a8f7318819088839becd09577ce completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:21 p.m.