Triple

T1200371
Position Surface form Disambiguated ID Type / Status
Subject Estelle Scher E25766 entity
Predicate spouse P13 FINISHED
Object Arthur Gettleman E34676 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: Arthur Gettleman | Statement: [Estelle Scher, spouse, Arthur Gettleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Gettleman
Context triple: [Estelle Scher, spouse, Arthur Gettleman]
  • A. Arthur Gettleman chosen
    Arthur Gettleman was the husband of American actress Estelle Getty, best known for her role as Sophia Petrillo on the television series "The Golden Girls."
  • B. Elmer Layden
    Elmer Layden was an American football player, coach, and executive best known as one of Notre Dame’s famed “Four Horsemen” and later as the first commissioner of the National Football League.
  • C. Rex Scouten
    Rex Scouten was a longtime White House staff member who served multiple presidents in key roles overseeing the executive mansion’s operations and preservation.
  • D. Tom Dugan
    Tom Dugan was an American character actor of the early 20th century, known for his numerous supporting roles in Hollywood films.
  • E. August Eberstein
    August Eberstein was a German engineer and entrepreneur best known as one of the original creators of the Montblanc luxury fountain pen brand in the early 20th century.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9ec3488190afe35af54efae5e9 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c90c95081908af02d73f7d762ee completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 7:46 p.m.