Triple

T9172409
Position Surface form Disambiguated ID Type / Status
Subject Atlantic Records E220111 entity
Predicate foundedBy P104 FINISHED
Object Miriam Abramson E250558 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: Miriam Abramson | Statement: [Atlantic Records, foundedBy, Miriam Abramson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam Abramson
Context triple: [Atlantic Records, foundedBy, Miriam Abramson]
  • A. Miriam Fried
    Miriam Fried is an acclaimed Israeli-American violinist renowned for her solo performances, chamber music collaborations, and influential teaching career.
  • B. Miriam Weinstein
    Miriam Weinstein is the mother of film producer Harvey Weinstein, whose first name inspired the name of the film company Miramax.
  • C. Miriam Bienstock chosen
    Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
  • D. Miriam Mendelsohn
    Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
  • E. Miriam Palatnik
    Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbf9fe79c819082f335c2fdd1c7d3 completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f36f72bc8190bf195a78bafcd873 completed April 4, 2026, 11:18 a.m.
Created at: March 30, 2026, 7:22 p.m.