Triple

T11343853
Position Surface form Disambiguated ID Type / Status
Subject Don Draper E268668 entity
Predicate spouse P13 FINISHED
Object Betty Draper E268671 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: Betty Draper | Statement: [Don Draper, spouse, Betty Draper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Draper
Context triple: [Don Draper, spouse, Betty Draper]
  • A. Betty Draper chosen
    Betty Draper is a central character in the television series "Mad Men," portrayed as Don Draper's elegant yet deeply dissatisfied suburban wife navigating the constraints of 1960s American domestic life.
  • B. Edith Bunker
    Edith Bunker is a kind-hearted, naive, and long-suffering wife and mother from the classic American sitcom "All in the Family," known for her distinctive voice and gentle demeanor.
  • C. Sue Mason
    Sue Mason is a British science fiction fan artist renowned for her whimsical, detailed illustrations that have earned her multiple Hugo Awards for Best Fan Artist.
  • D. Mary Hartman
    Mary Hartman is the neurotic, overwhelmed housewife protagonist of the satirical 1970s American soap opera parody "Mary Hartman, Mary Hartman."
  • E. Shirley Grey
    Shirley Grey was an American film actress of the 1930s, known for her roles in numerous Hollywood dramas and serials.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5436e9d848190a7e585351d24df03 completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.