Triple

T12565183
Position Surface form Disambiguated ID Type / Status
Subject The Lion and the Mouse E295454 entity
Predicate writer P1360 FINISHED
Object Charles Klein E241508 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: Charles Klein | Statement: [The Lion and the Mouse, writer, Charles Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Klein
Context triple: [The Lion and the Mouse, writer, Charles Klein]
  • A. Charles Klein chosen
    Charles Klein was a prominent early 20th-century American playwright best known for his successful Broadway dramas and melodramas.
  • B. Arthur Klein
    Arthur Klein was the husband of pioneering psychoanalyst Melanie Klein, known primarily in relation to her life and work.
  • C. Harry Kleiner
    Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
  • D. Marc Klein
    Marc Klein is a screenwriter best known for writing the romantic comedy film "Serendipity."
  • E. Charles Katz
    Charles Katz was the defendant whose challenge to FBI wiretapping led to the landmark U.S. Supreme Court decision in Katz v. United States, which redefined Fourth Amendment protections for privacy.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ade75c8190b556c3b0ba692a96 completed May 9, 2026, 3:45 p.m.
Created at: April 8, 2026, 11:49 p.m.