Triple

T4452162
Position Surface form Disambiguated ID Type / Status
Subject Christine E97635 entity
Predicate appearsIn P795 FINISHED
Object Love unclear NED1 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: Love | Statement: [Christine, appearsIn, Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love
Context triple: [Christine, appearsIn, Love]
  • A. Love
    "Love" is an essay by Ralph Waldo Emerson that explores the nature, spiritual significance, and transformative power of romantic affection and human connection.
  • B. Love
    Love is a 2003 novel by Toni Morrison that explores the intertwined lives of several women connected by their relationships to a charismatic, deceased hotel owner.
  • C. Love
    Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
  • D. Love
    "Love" is a smooth, neo-soul R&B song by Musiq Soulchild that became one of his signature hits in the early 2000s.
  • E. LOVE
    LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f3731c81909cc5a782b12ddd38 completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6376286e48190906874d67c730dc9 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:33 p.m.