Triple

T12369685
Position Surface form Disambiguated ID Type / Status
Subject Thomas Mann E294967 entity
Predicate actedIn P1668 FINISHED
Object Barely Lethal E46508 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: Barely Lethal | Statement: [Thomas Mann, actedIn, Barely Lethal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barely Lethal
Context triple: [Thomas Mann, actedIn, Barely Lethal]
  • A. Barely Lethal chosen
    Barely Lethal is a 2015 action-comedy film about a teenage assassin trying to live a normal high school life, starring Hailee Steinfeld and Samuel L. Jackson.
  • B. Hard to Kill
    Hard to Kill is a professional wrestling pay-per-view event produced annually by Impact Wrestling.
  • C. Brink of Life
    Brink of Life is a 1958 Swedish drama film directed by Ingmar Bergman that explores the emotional struggles of three women in a maternity ward.
  • D. Deadly Impact
    Deadly Impact is a 2009 action-thriller film about an FBI agent confronting a ruthless terrorist, directed by special effects veteran Robert Kurtzman.
  • E. Kill or Be Killed
    Kill or Be Killed is a dark, psychologically driven crime-noir comic series by Ed Brubaker that follows a troubled young man compelled to become a vigilante killer under mysterious, possibly supernatural circumstances.
  • 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.