Triple

T4792473
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Ramsey Irwin Harrison E106635 entity
Predicate middleName P143 FINISHED
Object Ramsey E360216 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: Ramsey | Statement: [Elizabeth Ramsey Irwin Harrison, middleName, Ramsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramsey
Context triple: [Elizabeth Ramsey Irwin Harrison, middleName, Ramsey]
  • A. Ramsey chosen
    Ramsey is a surname of English and Scottish origin borne by various notable individuals across fields such as science, politics, and the arts.
  • B. Ramsey
    Ramsey is a coastal town in the north of the Isle of Man, known as one of the island’s main population centers and a local commercial and transport hub.
  • C. Ramsey
    Ramsey is a brilliant hacker and tech expert in the Fast & Furious film series, known for creating the powerful surveillance program "God's Eye."
  • D. Ramsey
    Ramsey is a historic market town in the English county of Cambridgeshire, known for its medieval abbey and rural surroundings.
  • E. Gresham
    Gresham is a suburban city in the Portland metropolitan area of northwestern Oregon, known for its residential communities and proximity to outdoor recreation in the Columbia River Gorge.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66059bfc8190885d26d05dd38df1 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43ecf0308190941809fd13efa393 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.