Triple

T6204699
Position Surface form Disambiguated ID Type / Status
Subject David Susskind E138718 entity
Predicate name P16 FINISHED
Object David Susskind E138718 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: David Susskind | Statement: [David Susskind, name, David Susskind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Susskind
Context triple: [David Susskind, name, David Susskind]
  • A. David Susskind chosen
    David Susskind was an influential American television producer and talk show host known for his socially conscious programming and pioneering work in both TV and film.
  • B. Ralph Rosenblum
    Ralph Rosenblum was an American film editor best known for his influential work on landmark comedies and dramas, including several early Woody Allen films.
  • C. Douglas Shulman
    Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
  • D. Paul Hirsch
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • E. Leonard Schrader
    Leonard Schrader was an American screenwriter and director known for his collaborations with his brother Paul Schrader and for writing acclaimed films such as "Kiss of the Spider Woman."
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626d96ec8190816c00c44668177d completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f412d848190a8e78ad7822aa399 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.