Triple

T4083417
Position Surface form Disambiguated ID Type / Status
Subject David Finkelstein E87530 entity
Predicate hasFamilyName P18 FINISHED
Object Finkelstein E39736 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: Finkelstein | Statement: [David Finkelstein, hasFamilyName, Finkelstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finkelstein
Context triple: [David Finkelstein, hasFamilyName, Finkelstein]
  • A. Finkelstein chosen
    Finkelstein is a Jewish surname of German and Yiddish origin, commonly associated with families of Central and Eastern European descent.
  • B. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • C. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Dr. Finkelstein
    Dr. Finkelstein is a reclusive, wheelchair-bound mad scientist from Tim Burton’s animated film "The Nightmare Before Christmas," known for creating Sally and other eerie inventions in Halloween Town.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7933b481909bb3e02c6c04c8ee completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c6456081908cca823ebb13936a completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.