Triple

T14173912
Position Surface form Disambiguated ID Type / Status
Subject Franklin J. Schaffner E351282 entity
Predicate hasSurname P18 FINISHED
Object Schaffner E351282 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: Schaffner | Statement: [Franklin J. Schaffner, hasSurname, Schaffner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schaffner
Context triple: [Franklin J. Schaffner, hasSurname, Schaffner]
  • A. Schaffner chosen
    Schaffner is a surname most notably associated with Franklin J. Schaffner, the Academy Award–winning American film director of works such as "Patton" and "Planet of the Apes."
  • B. Schneider
    Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
  • C. Seiberling
    Seiberling is a surname most notably associated with American industrialist Frank Seiberling, co-founder of the Goodyear Tire & Rubber Company.
  • D. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • E. Schafer
    Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80a9b34819081c4ebf7429e875a completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.