Triple

T16524630
Position Surface form Disambiguated ID Type / Status
Subject Jackdaws E401401 entity
Predicate hasCharacter P2308 FINISHED
Object Greta Garbo (code name) E78659 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: Greta Garbo (code name) | Statement: [Jackdaws, hasCharacter, Greta Garbo (code name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greta Garbo (code name)
Context triple: [Jackdaws, hasCharacter, Greta Garbo (code name)]
  • A. Hedy Carlson
    Hedy Carlson is a woman known primarily for being the college roommate of writer and journalist Allie Jones.
  • B. Hedy McDodd
    Hedy McDodd is a young Whoville resident from Dr. Seuss’s "Horton Hears a Who!" and its adaptations, known as one of Mayor Ned McDodd’s many children.
  • C. Kate Cold
    Kate Cold is a tough, eccentric elderly journalist and explorer who serves as a key mentor and adventurer in Isabel Allende’s young adult novel "City of the Beasts."
  • D. Greta Garbo chosen
    Greta Garbo was a legendary Swedish-American film actress of the silent and early sound eras, renowned for her enigmatic screen presence and roles in classics such as "Anna Karenina" and "Camille."
  • E. Brigitte
    Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed323c081908218460aa4ae3cf6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608b7f6081909912dd575979f8d7 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.