Triple

T9969780
Position Surface form Disambiguated ID Type / Status
Subject Dan in Real Life E196174 entity
Predicate editedBy P1954 FINISHED
Object Sarah Flack E420262 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: Sarah Flack | Statement: [Dan in Real Life, editedBy, Sarah Flack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Flack
Context triple: [Dan in Real Life, editedBy, Sarah Flack]
  • A. Sarah Flack chosen
    Sarah Flack is an American film editor known for her long-time collaboration with director Sofia Coppola and her work on acclaimed independent and art-house films.
  • B. Elizabeth Flanagan
    Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
  • C. Rachel Flax
    Rachel Flax is the unconventional, free-spirited single mother portrayed by Cher in the 1990 coming-of-age film "Mermaids."
  • D. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • E. Sarah Hawkins
    Sarah Hawkins was the wife of American frontiersman and first governor of Tennessee, John Sevier, and a member of a prominent early American family.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369657ecc81909d0c710ca919602e completed April 6, 2026, 8:05 a.m.
Created at: March 30, 2026, 8:48 p.m.