Triple

T7451758
Position Surface form Disambiguated ID Type / Status
Subject Disenchanted E172023 entity
Predicate character P662 FINISHED
Object Robert Philip E533009 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: Robert Philip | Statement: [Disenchanted, character, Robert Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Philip
Context triple: [Disenchanted, character, Robert Philip]
  • A. Robert Philip chosen
    Robert Philip is a central character in Disney's film "Enchanted," a pragmatic New York City divorce lawyer who becomes the love interest of the fairy-tale princess Giselle.
  • B. Jonathan Roberts
    Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
  • C. Robert Anthony
    Robert Anthony is the given first and middle name of Anthony Eden, the British Conservative politician who served as Prime Minister of the United Kingdom from 1955 to 1957.
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. Ian Roberts
    Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827b9a6048190bd3e3594b9cff2b7 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.