Triple

T12369686
Position Surface form Disambiguated ID Type / Status
Subject Thomas Mann E294967 entity
Predicate actedIn P1668 FINISHED
Object Brain on Fire E242757 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: Brain on Fire | Statement: [Thomas Mann, actedIn, Brain on Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brain on Fire
Context triple: [Thomas Mann, actedIn, Brain on Fire]
  • A. Brain on Fire chosen
    Brain on Fire is a 2016 biographical drama film based on Susannah Cahalan’s memoir about her sudden descent into and recovery from a rare autoimmune brain disease.
  • B. A Brilliant Madness
    A Brilliant Madness is Patty Duke’s candid memoir detailing her life, career, and struggles with bipolar disorder.
  • C. The Fire Inside
    The Fire Inside is a nonfiction book by Steve Delsohn that explores the lives, challenges, and culture of firefighters.
  • D. The Fire Inside
    The Fire Inside is a 1991 rock album by American singer-songwriter Bob Seger, known for its heartland rock sound and reflective, narrative-driven songs.
  • E. The Lazarus Effect
    The Lazarus Effect is a 2015 American supernatural horror film about a group of researchers who develop a serum that can bring the dead back to life, with terrifying consequences.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abdad1c8190b083791d60138f2a completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.