Triple

T21117092
Position Surface form Disambiguated ID Type / Status
Subject CBGB (film) E520326 entity
Predicate stars P1956 FINISHED
Object Ashley Greene 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: Ashley Greene | Statement: [CBGB (film), stars, Ashley Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashley Greene
Context triple: [CBGB (film), stars, Ashley Greene]
  • A. Ashley Greene chosen
    Ashley Greene is an American actress best known for playing Alice Cullen in the film adaptations of Stephenie Meyer’s Twilight saga.
  • B. 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."
  • C. Jenna Gray
    Jenna Gray is an American volleyball setter best known for starring on Stanford University's powerhouse women's volleyball team, where she helped lead the Cardinal to multiple NCAA championships.
  • D. Kristen Connolly
    Kristen Connolly is an American actress best known for her lead role in the horror-comedy film "The Cabin in the Woods" and her work in television series such as "House of Cards."
  • E. Shelley Conn
    Shelley Conn is a British actress known for her roles in television dramas and science fiction series, including a lead role in the show Terra Nova.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.