Triple

T3249274
Position Surface form Disambiguated ID Type / Status
Subject Frozen II E68136 entity
Predicate storyBy P1955 FINISHED
Object Jennifer Lee E173076 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: Jennifer Lee | Statement: [Frozen II, storyBy, Jennifer Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Lee
Context triple: [Frozen II, storyBy, Jennifer Lee]
  • A. Jennifer Lee
    Jennifer Lee is an American actress and producer best known for her on-and-off marriage to legendary comedian Richard Pryor.
  • B. Jennifer Lee chosen
    Jennifer Lee is an American filmmaker and screenwriter best known for co-directing Disney's hit animated film "Frozen" and serving as Chief Creative Officer of Walt Disney Animation Studios.
  • C. Jane Kim
    Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
  • D. Emma Jung
    Emma Jung was a Swiss psychoanalyst and author who significantly contributed to analytical psychology and collaborated closely with her husband, Carl Jung.
  • E. Jennifer Lee Pryor
    Jennifer Lee Pryor is an American actress and producer best known as the widow of legendary comedian Richard Pryor and for managing his estate and legacy.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e82f91788190a9b14613eab7a439 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.