Triple

T10107197
Position Surface form Disambiguated ID Type / Status
Subject Bartlet administration E216349 entity
Predicate createdBy P806 FINISHED
Object Aaron Sorkin E22517 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: Aaron Sorkin | Statement: [Bartlet administration, createdBy, Aaron Sorkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Sorkin
Context triple: [Bartlet administration, createdBy, Aaron Sorkin]
  • A. Aaron Sorkin chosen
    Aaron Sorkin is an American screenwriter, playwright, and director renowned for his fast-paced, dialogue-driven dramas in film, television, and theater.
  • B. Brian Koppelman
    Brian Koppelman is an American screenwriter, director, and producer best known for co-writing films like "Rounders" and "Ocean's Thirteen" and co-creating the TV series "Billions."
  • C. Terence Winter
    Terence Winter is an American screenwriter and producer best known for his work on acclaimed television dramas such as The Sopranos and Boardwalk Empire.
  • D. Charles Kaufman
    Charles Kaufman was a cinematographer best known as the founder of the American Society of Cinematographers, a key professional organization in the film industry.
  • E. Charles Kaufman
    Charles Kaufman was a screenwriter best known for his work on the film "In Name Only."
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0ca7f7c8190ba7ed37940aa933d completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0572e08190a8ef4d620ac27d88 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.