Triple

T13303655
Position Surface form Disambiguated ID Type / Status
Subject Mo Ostin E316876 entity
Predicate workedWith P398 FINISHED
Object Madonna E66231 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: Madonna | Statement: [Mo Ostin, workedWith, Madonna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madonna
Context triple: [Mo Ostin, workedWith, Madonna]
  • A. Madonna
    Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
  • B. Madonna chosen
    Madonna is an American pop icon, singer, songwriter, and actress widely known as the "Queen of Pop" for her influential, boundary-pushing work in music and popular culture since the 1980s.
  • C. Madona
    Madona is a town in eastern Latvia that serves as a regional center known for its proximity to the country’s highest hill, Gaiziņkalns.
  • D. Madonna Litta
    Madonna Litta is a renowned Renaissance painting, traditionally attributed to Leonardo da Vinci, depicting the Virgin Mary nursing the Christ Child.
  • E. Ansidei Madonna
    The Ansidei Madonna is a renowned early 16th-century altarpiece by Raphael depicting the Virgin Mary enthroned with the Christ Child and saints, celebrated for its serene composition and luminous color.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.