Triple

T18685098
Position Surface form Disambiguated ID Type / Status
Subject Felix Unger E456839 entity
Predicate child P120 FINISHED
Object Leonard Unger NE NERFINISHED

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: Leonard Unger | Statement: [Felix Unger, child, Leonard Unger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard Unger
Context triple: [Felix Unger, child, Leonard Unger]
  • A. Leonard Unger chosen
    Leonard Unger is a fictional character from the television series "The Odd Couple," depicted as the son of the neurotic neat-freak Felix Unger.
  • B. Murray Lerner
    Murray Lerner was an American documentary and concert filmmaker best known for his music films capturing iconic performances by artists such as Bob Dylan, Jimi Hendrix, and The Who.
  • C. David A. Unger
    David A. Unger is a film producer and talent manager known for his work on international action and martial arts projects.
  • D. Daniel Ullman
    Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
  • E. Arthur D. Levinson
    Arthur D. Levinson is an American biochemist and business executive best known as the longtime CEO of Genentech and the chairman of Apple Inc.'s board of directors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2c58188190b906c9ab080a76ff completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:49 a.m.