Triple

T10107227
Position Surface form Disambiguated ID Type / Status
Subject Huck Ziegler E216350 entity
Predicate sibling P363 FINISHED
Object Molly Ziegler E313999 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: Molly Ziegler | Statement: [Huck Ziegler, sibling, Molly Ziegler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Ziegler
Context triple: [Huck Ziegler, sibling, Molly Ziegler]
  • A. Molly Ziegler chosen
    Molly Ziegler is a fictional character on the television series "The West Wing," known as the daughter of White House Communications Director Toby Ziegler.
  • B. Jennifer Ziegler
    Jennifer Ziegler is an American author best known for her humorous and heartfelt middle-grade and young adult novels.
  • C. Lauren Dolgen
    Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
  • D. Zoe Glazer
    Zoe Glazer is a member of the prominent Glazer family, known for its extensive business interests and ownership stakes in major sports franchises.
  • E. Libby Geist
    Libby Geist is an American documentary film producer best known for her work on acclaimed sports and social-issue documentaries, including the Oscar-winning "O.J.: Made in America."
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0ca7f7c8190ba7ed37940aa933d completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794653a948190899e60d18446213a completed April 9, 2026, 11:58 a.m.
Created at: March 30, 2026, 9:03 p.m.