Triple

T22396811
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Tocco E553655 entity
Predicate notableWork P4 FINISHED
Object Save Mart Supermarkets NE NERFINISHED

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: Save Mart Supermarkets | Statement: [Nicholas Tocco, notableWork, Save Mart Supermarkets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Save Mart Supermarkets
Context triple: [Nicholas Tocco, notableWork, Save Mart Supermarkets]
  • A. Save Mart Supermarkets chosen
    Save Mart Supermarkets is a regional supermarket chain based in California, known for operating grocery stores under several banners throughout the state and parts of Nevada.
  • B. Safeway
    Safeway is a major American supermarket chain offering groceries, household goods, and pharmacy services across numerous locations.
  • C. Price Mart
    Price Mart is a fictional big-box retail store featured in the television series "That '70s Show," where several main characters work and interact.
  • D. Albertsons
    Albertsons is a major American supermarket and grocery retail chain operator with stores across numerous states under various regional banners.
  • E. First National Supermarket
    First National Supermarket is a regional grocery store chain where employees like Tami-Lynn work in various retail and customer service roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585f67108190b8d3f23eaa0ed120 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.