Triple

T2804491
Position Surface form Disambiguated ID Type / Status
Subject Jesse Fell E54019 entity
Predicate givenName P17 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: [Jesse Fell, givenName, Jesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesse
Context triple: [Jesse Fell, givenName, 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 the nickname of Jesse Owens, the legendary American track and field athlete who won four gold medals at the 1936 Berlin Olympics.
  • C. Jesse Mercer
    Jesse Mercer was a 19th-century Baptist minister, educator, and philanthropist who played a key role in advancing Baptist education in Georgia.
  • D. Jesse Fell
    Jesse Fell was a 19th-century American lawyer, land developer, and political figure from Illinois who played a key role in the rise of Abraham Lincoln and the founding of several Midwestern communities.
  • E. Jesse Bradford
    Jesse Bradford is an American actor known for his roles in films such as "Bring It On," "Swimfan," and "Romeo + Juliet," as well as various television series.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce94a8f48190ac8b447f66b7d545 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.