Triple

T3549712
Position Surface form Disambiguated ID Type / Status
Subject Dakota Fanning E75080 entity
Predicate notableWork P4 FINISHED
Object Effie Gray E36620 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: Effie Gray | Statement: [Dakota Fanning, notableWork, Effie Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Effie Gray
Context triple: [Dakota Fanning, notableWork, Effie Gray]
  • A. Effie Gray chosen
    Effie Gray is a 2014 British biographical drama film that portrays the troubled marriage of Victorian art critic John Ruskin and his young wife Euphemia "Effie" Gray.
  • B. Ottoline Morrell
    Ottoline Morrell was a British aristocrat, literary hostess, and patron of the arts who played a central role in early 20th-century intellectual and artistic circles.
  • C. Josephine Crowe
    Josephine Crowe is a notable individual associated with the Crowe surname, recognized as a distinguished bearer of that family name.
  • D. Mary Cooke
    Mary Cooke was a daughter of Mayflower passenger and Plymouth Colony settler Francis Cooke.
  • E. Letitia Cropley
    Letitia Cropley is an eccentric parishioner in the British sitcom "The Vicar of Dibley," best known for her bizarre and unappetizing culinary creations.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd38c8c8190a4591689ad57c998 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be9335c81909ba546a079134c8f completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.