Triple

T22957839
Position Surface form Disambiguated ID Type / Status
Subject Even Greater Mistakes E570809 entity
Predicate containsWork P2011 FINISHED
Object The Turn of the Scrooge NE NERFINISHED

How this triple was built (3 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: The Turn of the Scrooge | Statement: [Even Greater Mistakes, containsWork, The Turn of the Scrooge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Turn of the Scrooge
Context triple: [Even Greater Mistakes, containsWork, The Turn of the Scrooge]
  • A. A Christmas Carol (novella)
    A Christmas Carol is an 1843 novella by Charles Dickens that tells the story of Ebenezer Scrooge’s moral transformation after being visited by three Christmas spirits.
  • B. The Ghosts of Christmas
    The Ghosts of Christmas is a short story set in the Full Throttle universe that expands on the game’s world and characters with a holiday-themed narrative.
  • C. A Christmas Carol
    A Christmas Carol is a 2009 animated fantasy film adaptation of Charles Dickens's classic novella, directed by Robert Zemeckis and starring Jim Carrey in multiple roles.
  • D. An Introduction to A Christmas Carol
    "An Introduction to A Christmas Carol" is John Irving’s essayistic preface that reflects on and contextualizes Charles Dickens’s classic novella within the collection Trying to Save Piggy Sneed.
  • E. The Girl Who Saved Christmas
    The Girl Who Saved Christmas is a children's fantasy novel by Matt Haig that follows a brave young girl on a magical adventure to restore Christmas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Turn of the Scrooge
Target entity description: "The Turn of the Scrooge" is a short story included in Sarah Pinsker's speculative fiction collection *Even Greater Mistakes*.
  • A. A Christmas Carol (novella)
    A Christmas Carol is an 1843 novella by Charles Dickens that tells the story of Ebenezer Scrooge’s moral transformation after being visited by three Christmas spirits.
  • B. The Ghosts of Christmas
    The Ghosts of Christmas is a short story set in the Full Throttle universe that expands on the game’s world and characters with a holiday-themed narrative.
  • C. A Christmas Carol
    A Christmas Carol is a 2009 animated fantasy film adaptation of Charles Dickens's classic novella, directed by Robert Zemeckis and starring Jim Carrey in multiple roles.
  • D. An Introduction to A Christmas Carol
    "An Introduction to A Christmas Carol" is John Irving’s essayistic preface that reflects on and contextualizes Charles Dickens’s classic novella within the collection Trying to Save Piggy Sneed.
  • E. The Girl Who Saved Christmas
    The Girl Who Saved Christmas is a children's fantasy novel by Matt Haig that follows a brave young girl on a magical adventure to restore Christmas.
  • F. None of above. chosen

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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f21e588190a5a88a15c1b55dea completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.