Triple

T13080365
Position Surface form Disambiguated ID Type / Status
Subject Jami Cassady E310184 entity
Predicate givenName P17 FINISHED
Object Jami E147807 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: Jami | Statement: [Jami Cassady, givenName, Jami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jami
Context triple: [Jami Cassady, givenName, Jami]
  • A. Jami chosen
    Jami was a prominent 15th-century Persian poet, scholar, and Sufi mystic renowned for his influential literary works and spiritual writings in the Islamic world.
  • B. Jamaame
    Jamaame is a significant urban and economic center in southern Somalia’s Jubaland region, known especially for its agricultural production and location along the Jubba River.
  • C. Jamay
    Jamay is a small municipality and town in the Ciénega region of Jalisco, Mexico, known for its lakeside location near Lake Chapala and traditional agricultural economy.
  • D. Jamsay
    Jamsay is a Dogon language spoken primarily in Mali, known for its complex tonal system and rich oral tradition.
  • E. Jaheim
    Jaheim is an American R&B singer known for his soulful vocals and early-2000s hits like "Just in Case" and "Put That Woman First."
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.