Triple

T13507755
Position Surface form Disambiguated ID Type / Status
Subject Killing Them Softly E321055 entity
Predicate musicBy P1952 FINISHED
Object Marc Streitenfeld E131796 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: Marc Streitenfeld | Statement: [Killing Them Softly, musicBy, Marc Streitenfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Streitenfeld
Context triple: [Killing Them Softly, musicBy, Marc Streitenfeld]
  • A. Marc Streitenfeld chosen
    Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
  • B. Michael Stütz
    Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
  • C. Paul Stadler
    Paul Stadler is a fictional cardiothoracic surgeon and abusive ex-husband of Jo Wilson on the television series Grey's Anatomy.
  • D. Bill Steinkellner
    Bill Steinkellner is an American television writer and producer best known for his work on popular sitcoms, often in collaboration with his wife Cheri Steinkellner.
  • E. Christian Ditter
    Christian Ditter is a German film and television director, producer, and screenwriter known for works such as "How to Be Single," "Love, Rosie," and the Netflix series "Girlboss."
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942668f481909c6d892fdfd32c02 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:43 p.m.