Triple

T16124797
Position Surface form Disambiguated ID Type / Status
Subject Debra Marshall E391238 entity
Predicate workedWith P398 FINISHED
Object Jeff Jarrett E705052 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: Jeff Jarrett | Statement: [Debra Marshall, workedWith, Jeff Jarrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Jarrett
Context triple: [Debra Marshall, workedWith, Jeff Jarrett]
  • A. Jeff Jarrett chosen
    Jeff Jarrett is an American professional wrestler, promoter, and co-founder of Total Nonstop Action Wrestling (TNA), known for his influential role in the growth of Impact Wrestling and multiple world championship reigns across major promotions.
  • B. Gary Jarrett
    Gary Jarrett was a Canadian professional ice hockey forward who played in both the NHL and WHA during the 1960s and 1970s.
  • C. John Briscoe
    John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
  • D. Mike Kershaw
    Mike Kershaw is a software developer best known for creating the wireless network detector and sniffer tool Kismet.
  • E. Will Halloway
    Will Halloway is a thoughtful and courageous young boy who confronts a sinister traveling carnival in Ray Bradbury’s dark fantasy novel "Something Wicked This Way Comes."
  • 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_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecc2b4c8190ac9654ac826f198e completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5 a.m.