Triple

T20140996
Position Surface form Disambiguated ID Type / Status
Subject Yes, God, Yes E491163 entity
Predicate producer P490 FINISHED
Object Eleanor Columbus 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: Eleanor Columbus | Statement: [Yes, God, Yes, producer, Eleanor Columbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eleanor Columbus
Context triple: [Yes, God, Yes, producer, Eleanor Columbus]
  • A. Eleanor Columbus chosen
    Eleanor Columbus is an American actress and producer known for her small roles in films directed by her father, filmmaker Chris Columbus, including the Harry Potter series.
  • B. Isabella Columbus
    Isabella Columbus was a daughter of Christopher Joseph Columbus, a descendant of the famed explorer Christopher Columbus.
  • C. Violet Columbus
    Violet Columbus is an American actress and filmmaker known for her work in independent films and for being the daughter of director Chris Columbus.
  • D. Felipa Colón de Toledo
    Felipa Colón de Toledo was a Spanish noblewoman and descendant of Christopher Columbus, belonging to the prominent Columbus family lineage.
  • E. Isabel de Bobadilla
    Isabel de Bobadilla was a 16th-century Spanish noblewoman who became one of the first female colonial governors in the Americas, overseeing Cuba after the departure of her husband, explorer Hernando de Soto.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.