Triple

T10354971
Position Surface form Disambiguated ID Type / Status
Subject Save the Tiger E243977 entity
Predicate producer P490 FINISHED
Object Gabriel Katzka E520775 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: Gabriel Katzka | Statement: [Save the Tiger, producer, Gabriel Katzka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabriel Katzka
Context triple: [Save the Tiger, producer, Gabriel Katzka]
  • A. Gabriel Katzka chosen
    Gabriel Katzka was a film producer best known for his work on notable 1970s American movies, including the thriller "The Taking of Pelham One Two Three."
  • B. Shmuel Katz
    Shmuel Katz was an Israeli writer, historian, and right-wing politician who was a prominent leader in the Herut movement and an advocate of Revisionist Zionism.
  • C. Uriel Frisch
    Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
  • D. Gabriel Weinstein
    Gabriel Weinstein is an actor best known for playing the character Trash.
  • E. Gabriel Mekler
    Gabriel Mekler was a rock music producer best known for shaping the sound of Steppenwolf and other late-1960s and early-1970s acts.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.