Triple

T3935165
Position Surface form Disambiguated ID Type / Status
Subject Horace Trumbauer E90890 entity
Predicate notableClient P7186 FINISHED
Object Duke family E272410 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: Duke family | Statement: [Horace Trumbauer, notableClient, Duke family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke family
Context triple: [Horace Trumbauer, notableClient, Duke family]
  • A. Duke family chosen
    The Duke family is a prominent American family known for its vast tobacco and energy fortune and for its major philanthropic contributions, including the endowment of Duke University.
  • B. Bruce family
    The Bruce family was a powerful medieval Scottish noble dynasty that produced several prominent figures, including Robert the Bruce, King of Scots.
  • C. Hall family
    The Hall family is a familial group or lineage to which Sylvia Hall belongs.
  • D. Rose family
    The Rose family is a prominent benefactor family whose legacy and contributions are commemorated through institutions such as the Rose Museum.
  • E. Lee family
    The Lee family is a prominent American dynasty from Virginia, historically influential in politics and the military and best known for producing figures such as Confederate General Robert E. Lee.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcbf0188190a5e828707a77752a completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288b7538819084936489226dd31f completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:23 p.m.