Triple

T9969129
Position Surface form Disambiguated ID Type / Status
Subject Will Fetters E195757 entity
Predicate wrote P2831 FINISHED
Object The Best of Me (2014 film) 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 (2014 film) | Statement: [Will Fetters, wrote, The Best of Me (2014 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Best of Me (2014 film)
Context triple: [Will Fetters, wrote, The Best of Me (2014 film)]
  • 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-songwriter Alicia Keys.
  • C. 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.
  • 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 Best Man
    "The Best Man" is a 1999 romantic comedy-drama film that follows a tight-knit group of college friends reuniting for a wedding, where long-held secrets and past relationships threaten to upend the celebration.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c002cc8190becc9730b2c01782 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:47 p.m.