Triple

T15926735
Position Surface form Disambiguated ID Type / Status
Subject Roar E386222 entity
Predicate starring P1507 FINISHED
Object Lisa Zane E732651 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: Lisa Zane | Statement: [Roar, starring, Lisa Zane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Zane
Context triple: [Roar, starring, Lisa Zane]
  • A. Lisa Zane chosen
    Lisa Zane is an American actress and singer known for her roles in film and television, including appearances in projects like "Freddy's Dead: The Final Nightmare" and the series "Profit."
  • B. Rachel Zane
    Rachel Zane is a central character in the legal drama series "Suits," known as a talented paralegal who aspires to become a lawyer and develops a key romantic relationship with Mike Ross.
  • C. Adrienne Lubeau
    Adrienne Lubeau is known as the former wife of influential American street photographer Garry Winogrand.
  • D. Mimi Reed
    Mimi Reed is a fictional character portrayed by Shari Headley, best known from the American soap opera "All My Children."
  • E. Emily Kaldwin
    Emily Kaldwin is a central protagonist and Empress of the Isles in the Dishonored video game series, known for her stealth abilities, supernatural powers, and complex moral choices.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156866de48190a744e8dcaa0c66f1 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5adcde88190ae2a845aaa9d31ac completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.