Triple

T6360071
Position Surface form Disambiguated ID Type / Status
Subject Taking Chances E143086 entity
Predicate hasPart P35 FINISHED
Object Shadow of Love E587574 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: Shadow of Love | Statement: [Taking Chances, hasPart, Shadow of Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadow of Love
Context triple: [Taking Chances, hasPart, Shadow of Love]
  • A. Shadow of Love chosen
    "Shadow of Love" is a song featured as a single from Celine Dion’s pop album "Taking Chances."
  • B. Wall of Love
    The Wall of Love is a public art installation in Paris featuring the phrase "I love you" written in numerous languages on a large blue-tiled wall.
  • C. Grace Under Fire
    Grace Under Fire is an American sitcom from the 1990s that follows a single mother rebuilding her life after leaving an abusive marriage, known for its blend of blue-collar humor and serious social themes.
  • D. Hart to Hart
    Hart to Hart is an American mystery television series from the late 1970s and early 1980s that follows a wealthy married couple who moonlight as amateur detectives solving crimes.
  • E. Family Affair
    Family Affair is a late-1960s American sitcom about a bachelor and his valet unexpectedly raising his orphaned nieces and nephew in a New York City high-rise.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f8758081909c5ce40abf57dd2c completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63869ef148190816b152f2724de49 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:32 p.m.