Triple

T22663870
Position Surface form Disambiguated ID Type / Status
Subject Professor Marston and the Wonder Women E559730 entity
Predicate stars P1956 FINISHED
Object Luke Evans 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: Luke Evans | Statement: [Professor Marston and the Wonder Women, stars, Luke Evans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke Evans
Context triple: [Professor Marston and the Wonder Women, stars, Luke Evans]
  • A. Luke Evans chosen
    Luke Evans is a Welsh actor and singer known for his roles in films such as "The Hobbit" trilogy, "Dracula Untold," and various high-profile Hollywood productions.
  • B. Steve Kinnaman
    Steve Kinnaman is the father of Swedish-American actor Joel Kinnaman.
  • C. Justin Long
    Justin Long is an American actor known for his comedic and romantic comedy roles in films like "Dodgeball," "Accepted," and the "I'm a Mac" Apple commercials.
  • D. Matthew Daddario
    Matthew Daddario is an American actor best known for his role as Alec Lightwood on the television series "Shadowhunters."
  • E. Daniel Gillies
    Daniel Gillies is a New Zealand-Canadian actor and filmmaker best known for his roles in television series such as "The Vampire Diaries" and its spin-off "The Originals."
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f176617ed8819095a58a2c9f1e3918 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.