Triple

T3478852
Position Surface form Disambiguated ID Type / Status
Subject Betsey Cushing Roosevelt E73441 entity
Predicate familyName P18 FINISHED
Object Whitney E85532 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: Whitney | Statement: [Betsey Cushing Roosevelt, familyName, Whitney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitney
Context triple: [Betsey Cushing Roosevelt, familyName, Whitney]
  • A. Whitney
    Whitney is an unincorporated community and census-designated place in the Las Vegas Valley of Clark County, Nevada.
  • B. Whitney
    Whitney is the multi-platinum 1987 studio album by Whitney Houston that solidified her status as a global pop and R&B superstar.
  • C. Whitney chosen
    Whitney is a common English surname most famously associated with Eli Whitney, the American inventor of the cotton gin.
  • D. Witney
    Witney is a UK parliamentary constituency in Oxfordshire, historically represented by prominent Conservative politicians including former Prime Minister David Cameron.
  • E. Witney
    Witney is a historic market town in Oxfordshire, England, known for its traditional blanket-making industry and position on the River Windrush.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.