Triple

T3783762
Position Surface form Disambiguated ID Type / Status
Subject Battleship E85477 entity
Predicate cinematographyBy P1953 FINISHED
Object Tobias A. Schliessler E173416 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: Tobias A. Schliessler | Statement: [Battleship, cinematographyBy, Tobias A. Schliessler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobias A. Schliessler
Context triple: [Battleship, cinematographyBy, Tobias A. Schliessler]
  • A. Tobias A. Schliessler chosen
    Tobias A. Schliessler is a German-born cinematographer known for his work on major Hollywood films such as "Dreamgirls," "Friday Night Lights," and "Hancock."
  • B. David Schmaier
    David Schmaier is a technology executive and entrepreneur best known as a co-founder of Siebel Systems, a pioneering customer relationship management (CRM) software company.
  • C. Eric D. Schneider
    Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
  • D. Michael T. Sauer
    Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
  • E. Michael Lehmann
    Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dc6590819098dda08206206612 completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04747448190be484cda5b2a7a8c completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:13 p.m.