Triple

T14970350
Position Surface form Disambiguated ID Type / Status
Subject Arlington Road E373299 entity
Predicate screenwriter P2831 FINISHED
Object Ehren Kruger E285402 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: Ehren Kruger | Statement: [Arlington Road, screenwriter, Ehren Kruger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ehren Kruger
Context triple: [Arlington Road, screenwriter, Ehren Kruger]
  • A. Ehren Kruger chosen
    Ehren Kruger is an American screenwriter and film producer known for writing several entries in the Transformers franchise and other major Hollywood films.
  • B. John Kruger
    John Kruger is the tough, resourceful U.S. Marshal protagonist in the 1996 action film "Eraser," portrayed by Arnold Schwarzenegger.
  • C. Erich Krueger
    Erich Krueger is the wealthy, enigmatic, and increasingly menacing husband whose obsessive behavior drives the psychological suspense in Mary Higgins Clark’s novel "A Cry in the Night."
  • D. Karl Krueger
    Karl Krueger was an American conductor known for his work with major orchestras and for making early high-fidelity orchestral recordings.
  • E. Michael Krueger
    Michael Krueger is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Krueger.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:49 a.m.