Triple

T11106743
Position Surface form Disambiguated ID Type / Status
Subject Frankland E262648 entity
Predicate hasNotableFamily P3600 FINISHED
Object Frankland family E905607 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: Frankland family | Statement: [Frankland, hasNotableFamily, Frankland family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankland family
Context triple: [Frankland, hasNotableFamily, Frankland family]
  • A. Frankland family chosen
    The Frankland family is a notable English lineage that produced the Frankland baronets and has longstanding ties to the British aristocracy.
  • B. Pynsent family
    The Pynsent family was an English landed gentry lineage historically associated with estates and local influence in Somerset.
  • C. Fearnley family
    The Fearnley family is a prominent Norwegian family known for its significant contributions to business, shipping, and the arts, including philanthropy that has supported major cultural institutions.
  • D. Tatham family
    The Tatham family is a historically significant family whose legacy in the arts is commemorated through the naming of the Tatham Art Gallery.
  • E. Fielden family
    The Fielden family was a prominent 19th-century industrial and political dynasty from Todmorden, England, known for its influential cotton manufacturing business and social reform activities.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6546d4819092187e9c12a30ed5 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441c3b1788190868fae6919544149 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.