Triple

T3526296
Position Surface form Disambiguated ID Type / Status
Subject Ashley Greene E74546 entity
Predicate name P16 FINISHED
Object Ashley Greene E74546 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: Ashley Greene | Statement: [Ashley Greene, name, Ashley Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashley Greene
Context triple: [Ashley Greene, name, 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. Hayden Panettiere
    Hayden Panettiere is an American actress and singer best known for her roles in the TV series "Heroes" and "Nashville," as well as numerous film and voice-acting performances.
  • C. Kristen Stewart
    Kristen Stewart is an American actress best known for her role as Bella Swan in the "Twilight" film series and for her acclaimed performances in independent and arthouse films.
  • D. Ashley Johnson
    Ashley Johnson is an American actress and voice actress known for her roles in television, film, and video games, including voicing Ellie in "The Last of Us" series.
  • E. Morena Baccarin
    Morena Baccarin is a Brazilian-American actress known for her roles in television series such as "Homeland," "Firefly," and "Gotham," as well as the "Deadpool" film franchise.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6bb0748190bfccfe25d2ab41b7 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8de2648190809369c3f0b7d85d completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.