Triple

T5692976
Position Surface form Disambiguated ID Type / Status
Subject Forgetting Sarah Marshall E125469 entity
Predicate editedBy P1954 FINISHED
Object Michael L. Sale E272646 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: Michael L. Sale | Statement: [Forgetting Sarah Marshall, editedBy, Michael L. Sale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael L. Sale
Context triple: [Forgetting Sarah Marshall, editedBy, Michael L. Sale]
  • A. Michael L. Sale chosen
    Michael L. Sale is a film editor known for his work on major Hollywood comedies, including the hit movie "Bridesmaids."
  • B. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • C. Martin J. Hillenbrand
    Martin J. Hillenbrand was an American career diplomat who held several key Cold War-era posts, including serving as U.S. Ambassador to Hungary and later to the Federal Republic of Germany.
  • D. Mark L. Lester
    Mark L. Lester is an American film director and producer best known for his work on 1980s action and genre films, including the cult classic "Commando."
  • E. Stephen M. Kellen
    Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.