Triple

T13881912
Position Surface form Disambiguated ID Type / Status
Subject Mother Abbess E333736 entity
Predicate encourages P836 FINISHED
Object Maria to follow her heart E333733 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: Maria to follow her heart | Statement: [Mother Abbess, encourages, Maria to follow her heart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria to follow her heart
Context triple: [Mother Abbess, encourages, Maria to follow her heart]
  • A. Searching for Maria
    "Searching for Maria" is a segment or component of the larger work "Liberation," likely contributing a focused narrative or thematic exploration within that overall piece.
  • B. Sin ella
    "Sin ella" is a Mexican film featuring actress Paola Núñez in a prominent role.
  • C. Maria's Lovers
    Maria's Lovers is a 1984 American romantic drama film directed by Andrei Konchalovsky that explores the emotional turmoil of a World War II veteran and the woman he loves in a small Pennsylvania town.
  • D. Maria (song) chosen
    "Maria" is a well-known song from the Rodgers and Hammerstein musical *The Sound of Music*, in which nuns humorously debate the troublesome yet endearing nature of the novice Maria.
  • E. Coração de Maria
    Coração de Maria is a municipality in the state of Bahia, Brazil, situated within the Metropolitan Region of Salvador.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be8566881908b8902e3cd567669 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c711f9b08190aa5981320597e83b completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.