Triple

T9854037
Position Surface form Disambiguated ID Type / Status
Subject Breakfast of Champions E239539 entity
Predicate hasCastMember P2308 FINISHED
Object Liane Balaban E502895 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: Liane Balaban | Statement: [Breakfast of Champions, hasCastMember, Liane Balaban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liane Balaban
Context triple: [Breakfast of Champions, hasCastMember, Liane Balaban]
  • A. Liane Balaban chosen
    Liane Balaban is a Canadian actress known for her work in independent films and television dramas.
  • B. Eugenia Brin
    Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
  • C. Tzila Segal
    Tzila Segal was the mother of Israeli Prime Minister Benjamin Netanyahu and part of a prominent Zionist family.
  • D. Sylvana Tomaselli
    Sylvana Tomaselli is a Canadian-born historian and academic, known for her work on political thought and as a member of the British royal family through her marriage to George Windsor, Earl of St Andrews.
  • E. Odette Yustman
    Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f21a04819099f23ede55ec3417 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.