Triple

T9739896
Position Surface form Disambiguated ID Type / Status
Subject Ronnie del Carmen E236158 entity
Predicate workedOn P3 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: [Ronnie del Carmen, workedOn, Prince of Egypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of Egypt
Context triple: [Ronnie del Carmen, workedOn, 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. Princess of Egypt
    Princess of Egypt is a royal title historically borne by female members of Egypt’s former ruling Muhammad Ali dynasty.
  • C. Princess of the Nile
    Princess of the Nile is a 1954 Technicolor adventure film set in ancient Egypt, starring Debra Paget as a courageous princess who leads a rebellion against oppressive rulers.
  • D. 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.
  • E. Omm El Misryeen
    Omm El Misryeen is a metro station on Cairo’s Line 2 serving the Giza area of Greater Cairo.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f29a5bc8190b2b391017405c71e completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccf62e08190ae799ee557ad1f1b completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:22 p.m.