Triple

T21722538
Position Surface form Disambiguated ID Type / Status
Subject Against All Odds E536195 entity
Predicate editedBy P1954 FINISHED
Object Fredric Steinkamp NE NERFINISHED

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: Fredric Steinkamp | Statement: [Against All Odds, editedBy, Fredric Steinkamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredric Steinkamp
Context triple: [Against All Odds, editedBy, Fredric Steinkamp]
  • A. Fredric Steinkamp chosen
    Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
  • B. William Steinkamp
    William Steinkamp is an American film editor known for his long-time collaboration with director Sydney Pollack and his work on several acclaimed Hollywood films.
  • C. Steven Hufsteter
    Steven Hufsteter is an American guitarist and composer best known for his work in rock bands like The Cruzados and for scoring music for film and television.
  • D. Robert Watzke
    Robert Watzke is an American editor and filmmaker best known for his work in film and television and for being married to actress Helen Slater.
  • E. Robert Hillenbrand
    Robert Hillenbrand is a distinguished British art historian renowned for his scholarship on Islamic art and architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd97032c08190820b87a288e77293 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.