Triple

T15998096
Position Surface form Disambiguated ID Type / Status
Subject Andrew Saks E388025 entity
Predicate name P16 FINISHED
Object Andrew Saks E388025 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: Andrew Saks | Statement: [Andrew Saks, name, Andrew Saks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Saks
Context triple: [Andrew Saks, name, Andrew Saks]
  • A. Andrew Saks chosen
    Andrew Saks was an American businessman and retailer best known as the founder of the luxury department store Saks Fifth Avenue.
  • B. Michael D. Rosenthal
    Michael D. Rosenthal is a writer best known as the author whose work inspired the "Twilight Zone" episode "A Kind of Stopwatch."
  • C. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • D. Martin Sacks
    Martin Sacks is an Australian actor best known for his long-running role as Detective P.J. Hasham on the television drama series "Blue Heelers."
  • E. Mark Saul
    Mark Saul is an American actor and musician best known for his work on television, including sketch comedy and drama series roles.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee94e1c8190ae81e2d5be082982 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:55 a.m.