Triple

T13754900
Position Surface form Disambiguated ID Type / Status
Subject Ruth Dayan E330449 entity
Predicate employer P7 FINISHED
Object Maskit E1060517 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: Maskit | Statement: [Ruth Dayan, employer, Maskit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maskit
Context triple: [Ruth Dayan, employer, Maskit]
  • A. Maskit chosen
    Maskit is an Israeli fashion and textile house renowned for its culturally inspired designs and craftsmanship, established in the mid-20th century.
  • B. Makhfi
    Makhfi was the pen name of Mughal princess Zeb-un-Nissa, known for her Persian poetry and literary patronage in 17th-century India.
  • C. Mistahimaskwa
    Mistahimaskwa, also known as Big Bear, was a prominent 19th-century Plains Cree chief recognized for his resistance to Canadian government policies and efforts to protect his people's autonomy.
  • D. Maski
    Maski is a historic town in Karnataka, India, known for yielding one of the earliest Ashokan rock edicts that explicitly names the Mauryan emperor Ashoka.
  • E. Masca
    Masca is a small, picturesque mountain village on the island of Tenerife in Spain’s Canary Islands, known for its dramatic ravine landscapes and popular hiking routes.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02179c948190a652cc8c586e418f completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06d9fd48190a10b86a0d68fac70 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:09 p.m.