Triple

T5402759
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Clarke Wilson E120817 entity
Predicate notableWork P4 FINISHED
Object Prince of Egypt E268292 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 of Egypt | Statement: [Dorothy Clarke Wilson, notableWork, Prince of Egypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of Egypt
Context triple: [Dorothy Clarke Wilson, notableWork, Prince of Egypt]
  • A. The Prince of Egypt chosen
    The Prince of Egypt is a 1998 animated musical drama film by DreamWorks that retells the biblical story of Moses with epic visuals and an acclaimed soundtrack.
  • B. Pharaoh’s daughter
    Pharaoh’s daughter is the unnamed Egyptian princess in the Hebrew Bible who marries King Solomon, symbolizing his political alliance with Egypt.
  • C. The Mummy
    The Mummy is a long-running Universal Pictures horror-adventure franchise centered on resurrected ancient Egyptian mummies and the chaos they unleash.
  • D. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • E. Thousand & One
    Thousand & One is a prominent Class A office tower within the Water Street Tampa development, known for its modern design and premium commercial workspace.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87731c1c81909a4dc865282bd289 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3388c10481908235da34ef509d37 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.