Triple

T8113029
Position Surface form Disambiguated ID Type / Status
Subject Lifted E189401 entity
Predicate author P4 FINISHED
Object Mercy E364464 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: Mercy | Statement: [Lifted, author, Mercy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercy
Context triple: [Lifted, author, Mercy]
  • A. Mercy
    "Mercy" is a 2012 hip hop single by the GOOD Music collective featuring Kanye West, Big Sean, Pusha T, and 2 Chainz, known for its distinctive beat and collaborative verses.
  • B. Mercy
    Mercy is a support hero in the game Overwatch, known for her powerful healing, resurrection abilities, and angelic, Valkyrie-themed design.
  • C. Mercy chosen
    Mercy is a feminine given name often associated with compassion and kindness, used in various cultures and contexts.
  • D. Mercy
    Mercy is a 2009 psychological thriller film starring Taylor Schilling, centered on a writer who becomes entangled in a complex relationship with a mysterious woman.
  • E. Rich in Mercy
    Rich in Mercy is the English title of Pope John Paul II’s 1980 encyclical Dives in Misericordia, which reflects on the centrality of God’s mercy in Christian life and theology.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432d7dfc8190b9c980f32c7b4623 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9433a5848190aac09a2589061b53 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.