Triple

T14944062
Position Surface form Disambiguated ID Type / Status
Subject Shirley Schmidt E372606 entity
Predicate hasRomanticRelationshipWith P9994 FINISHED
Object Carl Sack E436821 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: Carl Sack | Statement: [Shirley Schmidt, hasRomanticRelationshipWith, Carl Sack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Sack
Context triple: [Shirley Schmidt, hasRomanticRelationshipWith, Carl Sack]
  • A. Carl Sack chosen
    Carl Sack is a fictional attorney character portrayed by John Larroquette on the legal dramedy series "Boston Legal."
  • B. William Sachse
    William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
  • C. Karl Sack
    Karl Sack was a German jurist and member of the anti-Nazi resistance who was executed by the regime in 1945 for his involvement in plots against Adolf Hitler.
  • D. Karl Snyders
    Karl Snyders is an individual known primarily as a notable bearer of the surname Snyders, though little widely available public information further distinguishes him.
  • E. Stan Salfas
    Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bd871188190afcba3be94dbfa94 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:38 a.m.