Triple

T15368113
Position Surface form Disambiguated ID Type / Status
Subject Thirteen E367468 entity
Predicate starring P1507 FINISHED
Object Evan Rachel Wood E315696 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: Evan Rachel Wood | Statement: [Thirteen, starring, Evan Rachel Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Rachel Wood
Context triple: [Thirteen, starring, Evan Rachel Wood]
  • A. Evan Rachel Wood chosen
    Evan Rachel Wood is an American actress and musician known for her versatile performances in film and television, including acclaimed roles in projects like "Thirteen" and "Mildred Pierce."
  • B. Thandie Newton
    Thandie Newton is a British actress acclaimed for her powerful performances in film and television, including roles in "Crash," "Westworld," and numerous other high-profile productions.
  • C. Rhiannon Weaver
    Rhiannon Weaver is a central figure in Kingsley Amis’s novel *The Old Devils*, around whom much of the book’s interpersonal drama and emotional tension revolves.
  • D. Maggie Siff
    Maggie Siff is an American actress best known for her television roles in series such as Mad Men, Sons of Anarchy, and Billions.
  • E. Carrie Coon
    Carrie Coon is an American actress known for her acclaimed performances in television series like "The Leftovers" and "Fargo" as well as films such as "Gone Girl" and "The Nest."
  • 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.