Triple

T7608396
Position Surface form Disambiguated ID Type / Status
Subject Else Garnett E180166 entity
Predicate partOf P40 FINISHED
Object Garnett family E638790 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: Garnett family | Statement: [Else Garnett, partOf, Garnett family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garnett family
Context triple: [Else Garnett, partOf, Garnett family]
  • A. Garnett family chosen
    The Garnett family is a familial lineage or household to which Rita Garnett belongs.
  • B. Gardner family
    The Gardner family is a familial lineage or household associated with individuals such as Melvin Gardner.
  • C. Garrison family
    The Garrison family is a prominent American family best known for its leading role in the 19th-century abolitionist movement and social reform, particularly through William Lloyd Garrison and his descendants.
  • D. Gleason family
    The Gleason family is a prominent American industrial and engineering dynasty known for its leadership of the Gleason Works gear-manufacturing company and for pioneering contributions to mechanical engineering and business.
  • E. Greg family
    The Greg family was a prominent British industrialist and merchant dynasty influential in the development of the textile industry during the Industrial Revolution.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6fa1de8a4819091f9e9347835ce16 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8685c050c8190b05fa19c9ae2c827 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.