Triple

T16138451
Position Surface form Disambiguated ID Type / Status
Subject Jessica E391589 entity
Predicate isRelatedToName P3889 FINISHED
Object Jesse E35709 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: Jesse | Statement: [Jessica, isRelatedToName, Jesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesse
Context triple: [Jessica, isRelatedToName, Jesse]
  • A. Jesse chosen
    Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
  • B. Jesse
    Jesse is a prominent Urhobo clan and town in Delta State, Nigeria, known for its cultural heritage and role within the Urhobo ethnic group.
  • C. Jesse
    Jesse is an ambitious young aspiring model whose unsettling rise in the Los Angeles fashion world drives the psychological horror narrative of *The Neon Demon*.
  • D. Jesse
    Jesse is a central, Christ-like drifter character in the surreal 1972 Western film "Greaser’s Palace," whose miraculous abilities and enigmatic presence drive the movie’s offbeat religious allegory.
  • E. Jesse
    Jesse is a fictional character portrayed by actor Ryan Hansen, known for his roles in television comedies and dramas.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.