Triple

T1749438
Position Surface form Disambiguated ID Type / Status
Subject Fifty Shades of Grey E38404 entity
Predicate filmAdaptationScreenwriter P15305 FINISHED
Object Kelly Marcel E161290 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: Kelly Marcel | Statement: [Fifty Shades of Grey, filmAdaptationScreenwriter, Kelly Marcel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Marcel
Context triple: [Fifty Shades of Grey, filmAdaptationScreenwriter, Kelly Marcel]
  • A. Kelly Marcel chosen
    Kelly Marcel is a British screenwriter and producer known for her work on films such as "Saving Mr. Banks" and the "Fifty Shades of Grey" adaptation.
  • B. Kelly Grayson
    Kelly Grayson is a central character on the science fiction comedy series "The Orville," serving as the ship's first officer and the ex-wife of Captain Ed Mercer.
  • C. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • D. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • E. Alicia Landry
    Alicia Landry is the widow of legendary Dallas Cowboys head coach Tom Landry and was known for her active role in charitable and community work alongside him.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeacc64808190976d4a604d7762ea completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:31 p.m.