Triple

T3192372
Position Surface form Disambiguated ID Type / Status
Subject Albert Finney E66852 entity
Predicate notableWork P4 FINISHED
Object Scrooge E183569 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: Scrooge | Statement: [Albert Finney, notableWork, Scrooge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scrooge
Context triple: [Albert Finney, notableWork, Scrooge]
  • A. Ebenezer Scrooge chosen
    Ebenezer Scrooge is a miserly, cold-hearted businessman who undergoes a profound moral transformation after being visited by three Christmas spirits in Charles Dickens's classic novella "A Christmas Carol."
  • B. Marley
    Marley is the surname of the legendary Jamaican reggae musician and cultural icon Bob Marley.
  • C. Santa Claus
    Santa Claus is a legendary, gift-giving figure in Western culture typically depicted as a jolly, bearded man in a red suit who delivers presents to children on Christmas Eve.
  • D. Rudolph
    Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
  • E. Rudolph
    Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24ba8a8b48190824dac45e37217cc completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.