Triple

T11317734
Position Surface form Disambiguated ID Type / Status
Subject Norma Crane E268008 entity
Predicate familyName P18 FINISHED
Object Zuckerman E859704 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: Zuckerman | Statement: [Norma Crane, familyName, Zuckerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuckerman
Context triple: [Norma Crane, familyName, Zuckerman]
  • A. Zuckerman chosen
    Zuckerman is a surname most notably associated with American screenwriter, actor, and director Buck Henry.
  • B. Zuckerman Unbound
    Zuckerman Unbound is a 1981 novel by Philip Roth that follows writer Nathan Zuckerman as he grapples with sudden literary fame and its personal consequences.
  • C. Zukerman
    Zukerman is the surname of renowned Israeli-American violinist, violist, and conductor Pinchas Zukerman.
  • D. Levinstein
    Levinstein is a surname of likely German or Ashkenazi Jewish origin, related etymologically to the name Löwenstein.
  • E. Dr. Fink
    Dr. Fink is an American keyboardist best known for his flamboyant stage persona and long-time collaboration with Prince as a core member of his backing band, The Revolution.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.