Triple

T2901134
Position Surface form Disambiguated ID Type / Status
Subject Woody E62654 entity
Predicate closeFriendOf P8712 FINISHED
Object Jessie E237529 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: Jessie | Statement: [Woody, closeFriendOf, Jessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie
Context triple: [Woody, closeFriendOf, Jessie]
  • A. Jessie chosen
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • B. Jessie Ashley
    Jessie Ashley was an early 20th-century American feminist, labor lawyer, and suffrage activist known for her work advancing women’s rights and social justice.
  • C. Jessie Harte
    Jessie Harte was a child of the American author and poet Bret Harte, known primarily in relation to her father's literary legacy.
  • D. Jesse
    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.
  • E. 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.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b261c081909b66b21520b4731b completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0560300548190879d148ec1791e7a completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:10 p.m.