Triple

T17088215
Position Surface form Disambiguated ID Type / Status
Subject Maggie Bronstein E414655 entity
Predicate familyName P18 FINISHED
Object Bronstein E324875 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: Bronstein | Statement: [Maggie Bronstein, familyName, Bronstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronstein
Context triple: [Maggie Bronstein, familyName, Bronstein]
  • A. Bronstein
    Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
  • B. Brackman
    Brackman is a character in John Grisham’s legal thriller novel "The Street Lawyer," involved in the story’s exploration of law, morality, and homelessness.
  • C. Birstein
    Birstein is a small German town historically known as the seat and administrative center of the former Principality of Isenburg.
  • D. Lowenstein
    Lowenstein is a surname of German origin, often associated with Jewish families and various notable individuals in fields such as politics, academia, and the arts.
  • E. Bronštein chosen
    Bronštein is a variant spelling of the surname Bronstein, commonly associated with Ashkenazi Jewish families and notable figures in fields such as chess, science, and the arts.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.