Triple

T11666472
Position Surface form Disambiguated ID Type / Status
Subject Mame Dennis E277262 entity
Predicate createdBy P806 FINISHED
Object Patrick Dennis E939307 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: Patrick Dennis | Statement: [Mame Dennis, createdBy, Patrick Dennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Dennis
Context triple: [Mame Dennis, createdBy, Patrick Dennis]
  • A. Patrick Dennis chosen
    Patrick Dennis was an American author best known for his humorous novel "Auntie Mame," which became a cultural phenomenon and inspired stage and film adaptations.
  • B. Charles Dougherty
    Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
  • C. Carl Gallagher
    Carl Gallagher is a troublemaking yet surprisingly resourceful youngest son of the Gallagher family in the U.S. version of the dramedy series "Shameless."
  • D. Edward Connelly
    Edward Connelly was an American character actor of the silent film era, known for his supporting roles in numerous early Hollywood productions.
  • E. Phil Morrow
    Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82e252fc819082b5c8a33fcf861a completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:39 p.m.