Triple

T13431239
Position Surface form Disambiguated ID Type / Status
Subject Green family E313614 entity
Predicate founderOf P104 FINISHED
Object Hobby Lobby E80058 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: Hobby Lobby | Statement: [Green family, founderOf, Hobby Lobby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hobby Lobby
Context triple: [Green family, founderOf, Hobby Lobby]
  • A. Hobby Lobby Stores, Inc. chosen
    Hobby Lobby Stores, Inc. is a U.S.-based chain of arts and crafts retail stores known for its Christian corporate ethos and involvement in high-profile legal cases over religious freedom and healthcare mandates.
  • B. Fauske
    Fauske is a small Norwegian town and municipality known for its marble quarries and location in the inland part of Nordland county.
  • C. Wyeth
    Wyeth was a major American pharmaceutical and biotechnology company known for developing vaccines, prescription drugs, and consumer healthcare products before being acquired by Pfizer.
  • D. Church’s
    Church’s is a British luxury footwear brand renowned for its high-quality handcrafted leather shoes and classic designs.
  • E. Fair Inc.
    Fair Inc. was the original corporate name of the Japanese regional carrier now known as Ibex Airlines.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d86d32c8190a1d9ce72e99426e2 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:40 p.m.