Triple

T20269721
Position Surface form Disambiguated ID Type / Status
Subject Winnie Holzman E499061 entity
Predicate wroteForTelevisionSeries P25235 FINISHED
Object Once and Again 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: Once and Again | Statement: [Winnie Holzman, wroteForTelevisionSeries, Once and Again]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Once and Again
Context triple: [Winnie Holzman, wroteForTelevisionSeries, Once and Again]
  • A. Once and Again chosen
    Once and Again is an American television drama series that explores the romantic relationship and blended-family struggles of two divorced parents.
  • B. Once Again
    Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
  • C. Once Again
    "Once Again" is a popular South Korean family drama television series that follows the lives, divorces, and personal growth of four siblings and their parents.
  • D. Once Again
    "Once Again" is a creative work—likely a film, television episode, or literary piece—notable for featuring the character Maxine.
  • E. Once Again
    "Once Again" is a song featured on the album "Show Me."
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dc8e708190b840d687f134c9e8 completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.