Triple

T11329949
Position Surface form Disambiguated ID Type / Status
Subject Strange Days E268314 entity
Predicate producer P490 FINISHED
Object Lawrence Kasanoff E807464 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: Lawrence Kasanoff | Statement: [Strange Days, producer, Lawrence Kasanoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Kasanoff
Context triple: [Strange Days, producer, Lawrence Kasanoff]
  • A. Lawrence Kasanoff chosen
    Lawrence Kasanoff is an American film producer best known for his work on the Mortal Kombat franchise and various action and animated films.
  • B. Charles K. Feldman
    Charles K. Feldman was a prominent American film producer and talent agent known for shaping major Hollywood projects and representing high-profile stars during the mid-20th century.
  • C. George Lerner
    George Lerner was an American toy inventor best known for creating the iconic Mr. Potato Head character.
  • D. Charles Kupperman
    Charles Kupperman is an American defense and national security official who briefly served in senior roles on the U.S. National Security Council during the Trump administration.
  • E. Murray Panitz
    Murray Panitz was a prominent American flutist and longtime principal flute of the Philadelphia Orchestra, known for his influential performances and teaching.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdee6798c8190b2b47082cf0c32fb completed May 7, 2026, 6:50 p.m.
Created at: April 8, 2026, 9:32 p.m.