Triple

T7341829
Position Surface form Disambiguated ID Type / Status
Subject Saul Lieberman E169270 entity
Predicate name P16 FINISHED
Object Saul Lieberman E169270 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: Saul Lieberman | Statement: [Saul Lieberman, name, Saul Lieberman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saul Lieberman
Context triple: [Saul Lieberman, name, Saul Lieberman]
  • A. Saul Lieberman chosen
    Saul Lieberman was a prominent 20th-century Talmudic scholar and philologist renowned for his critical editions and studies of rabbinic literature and its Greco-Roman context.
  • B. Saul Levin
    Saul Levin is an American physician and health policy leader best known for serving as CEO and Medical Director of the American Psychiatric Association.
  • C. Ezra Lieberman
    Ezra Lieberman is a determined Nazi hunter in "The Boys from Brazil" who investigates a sinister plot involving Josef Mengele and a series of mysterious deaths.
  • D. Herman Lieberman
    Herman Lieberman was a prominent Polish socialist politician, lawyer, and parliamentarian active in the early 20th century, known for his leadership in the Polish left and opposition to authoritarianism.
  • E. Hal Lieberman
    Hal Lieberman is an American film producer known for working on major Hollywood movies, including the science fiction action sequel "Terminator 3: Rise of the Machines."
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0da176081909a40552c6f22087c completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d68a7e908190831b9f7f84ef19bd completed March 29, 2026, 7:36 a.m.
Created at: March 27, 2026, 3:04 p.m.