Triple

T16770846
Position Surface form Disambiguated ID Type / Status
Subject Sheldon Lettich E407589 entity
Predicate directorOf P537 FINISHED
Object Only the Strong E1136404 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: Only the Strong | Statement: [Sheldon Lettich, directorOf, Only the Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Only the Strong
Context triple: [Sheldon Lettich, directorOf, Only the Strong]
  • A. Only the Strong
    "Only the Strong" is a song by British singer-songwriter Laura Marling from her critically acclaimed folk album "Song for Our Daughter."
  • B. Only the Strong chosen
    Only the Strong is a 1993 martial arts action film centered on capoeira, in which Geoffrey Lewis appears alongside star Mark Dacascos.
  • C. The Stronger
    "The Stronger" is a short one-act play by August Strindberg, often noted for its intense psychological drama and use of a single speaking character.
  • D. Every Ounce of Strength
    "Every Ounce of Strength" is a song featured on the album "Comfort Me."
  • E. The Strongest
    The Strongest is a prominent Bolivian football club based in La Paz, known as one of the country’s oldest and most successful teams.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0361e5081908f58edf766ff3ce0 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafa19888190bb7f96591f363867 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.