Triple

T6319990
Position Surface form Disambiguated ID Type / Status
Subject Hope Solo E141712 entity
Predicate spouse P13 FINISHED
Object Jerramy Stevens E585373 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: Jerramy Stevens | Statement: [Hope Solo, spouse, Jerramy Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerramy Stevens
Context triple: [Hope Solo, spouse, Jerramy Stevens]
  • A. Jerramy Stevens chosen
    Jerramy Stevens is a former American football tight end who played in the NFL, primarily for the Seattle Seahawks and Tampa Bay Buccaneers.
  • B. Jameer Nelson
    Jameer Nelson is a former American NBA point guard best known for his standout collegiate career at Saint Joseph's University and his long tenure with the Orlando Magic.
  • C. Tyus Edney
    Tyus Edney is an American former professional basketball player and NCAA champion point guard best known for his clutch play at UCLA and a successful European career.
  • D. John Jenkins
    John Jenkins was a British politician who formerly served as the Member of Parliament for the Reigate constituency in the United Kingdom.
  • E. Sean Whalen
    Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c4ed7c8190bd066dc7cd3d1329 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63862698c8190a23f9f228a7cc8a7 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:29 p.m.