Triple

T2643919
Position Surface form Disambiguated ID Type / Status
Subject So This Is Love E62940 entity
Predicate associatedCharacter P12208 FINISHED
Object Prince Charming E62934 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: Prince Charming | Statement: [So This Is Love, associatedCharacter, Prince Charming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Charming
Context triple: [So This Is Love, associatedCharacter, Prince Charming]
  • A. Prince Charming chosen
    Prince Charming is the idealized fairytale prince known for rescuing and marrying Cinderella in the classic Disney story.
  • B. Nutcracker Prince
    The Nutcracker Prince is the enchanted hero of the classic holiday ballet who leads Clara on a magical journey through battles and fantastical realms.
  • C. Ice King
    Ice King is the nickname of Frederick Tudor, a 19th-century American entrepreneur who pioneered the international ice trade by shipping harvested ice worldwide.
  • D. Vincent (Beauty and the Beast)
    Vincent is the noble, lion-like, subterranean-dwelling protagonist of the 1987–1990 fantasy TV series "Beauty and the Beast," known for his deep emotional bond with Catherine Chandler.
  • E. Nicholas
    Nicholas is a masculine given name of Greek origin, commonly used in many cultures and historically borne by numerous saints, rulers, and notable figures.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd90046dc81908bab3440733f1e98 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c2bde8819085fbe1e5221be88d completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.