Triple

T15368308
Position Surface form Disambiguated ID Type / Status
Subject Catch .44 E367472 entity
Predicate starring P1507 FINISHED
Object Deborah Ann Woll E443002 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: Deborah Ann Woll | Statement: [Catch .44, starring, Deborah Ann Woll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deborah Ann Woll
Context triple: [Catch .44, starring, Deborah Ann Woll]
  • A. Deborah Ann Woll chosen
    Deborah Ann Woll is an American actress best known for her roles in the TV series "True Blood" and Marvel's "Daredevil."
  • B. Julie Benz
    Julie Benz is an American actress best known for her roles on television series such as "Buffy the Vampire Slayer," "Angel," and "Dexter."
  • C. Elisabeth Moss
    Elisabeth Moss is an acclaimed American actress best known for her powerful lead performances in television dramas such as "Mad Men" and "The Handmaid's Tale."
  • D. Anna Torv
    Anna Torv is an Australian actress best known for her lead role as FBI agent Olivia Dunham in the science fiction television series "Fringe."
  • E. Penelope Ann Miller
    Penelope Ann Miller is an American actress known for her roles in films such as "Carlito's Way," "The Artist," and "Kindergarten Cop."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b50703881909ca71c985bc1c7b5 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.