Triple

T10373274
Position Surface form Disambiguated ID Type / Status
Subject Michelle Monaghan E244436 entity
Predicate notableWork P4 FINISHED
Object The Best of Me E799715 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: The Best of Me | Statement: [Michelle Monaghan, notableWork, The Best of Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Best of Me
Context triple: [Michelle Monaghan, notableWork, The Best of Me]
  • A. The Best of Me chosen
    The Best of Me is a romantic drama film adaptation of Nicholas Sparks' novel, co-written and directed by J. Mills Goodloe.
  • B. Best of Me
    "Best of Me" is an R&B song by American singer Anthony Hamilton, known for its soulful vocals and heartfelt lyrics about enduring love.
  • C. Best of Me
    "Best of Me" is an R&B song by American singer-songwriter Alicia Keys.
  • D. Best of Me
    "Best of Me" is an R&B song by American singer Mýa, released in 2000 and best known in its remix form featuring rapper Jadakiss.
  • E. The Heart of Me
    The Heart of Me is a 2002 British romantic drama film set in 1930s and 1940s London, exploring the complex emotional entanglements of two sisters and a free-spirited woman.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97f8a148190bb04996132cd464a completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956ca1e08190880342b22a55783f completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:02 p.m.