Triple

T13969334
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Paige E336012 entity
Predicate familyName P18 FINISHED
Object Scoggins E701808 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: Scoggins | Statement: [Jennifer Paige, familyName, Scoggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scoggins
Context triple: [Jennifer Paige, familyName, Scoggins]
  • A. Scoggins chosen
    Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
  • B. Boggs
    Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
  • C. Bivins
    Bivins is a surname most notably associated with Michael Bivins, an American singer, rapper, and music executive known for his work with New Edition and Bell Biv DeVoe.
  • D. Snodgrass
    Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
  • E. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1dc838c8190bbcfefd69ea29965 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.