Triple

T21744247
Position Surface form Disambiguated ID Type / Status
Subject Mark-Paul Gosselaar E536742 entity
Predicate notableWork P4 FINISHED
Object The Princess and the Marine NE NERFINISHED

How this triple was built (3 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: The Princess and the Marine | Statement: [Mark-Paul Gosselaar, notableWork, The Princess and the Marine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Princess and the Marine
Context triple: [Mark-Paul Gosselaar, notableWork, The Princess and the Marine]
  • A. The Princess and the Pirate
    The Princess and the Pirate is a 1944 Technicolor comedy-adventure film starring Bob Hope and Virginia Mayo that parodies swashbuckling pirate tales with slapstick humor and romantic escapades.
  • B. The Princess and the Pearl
    The Princess and the Pearl is a children's fantasy novel by E. D. Baker that follows a young princess on a magical undersea adventure filled with merfolk, danger, and self-discovery.
  • C. The Princess Comes Across
    The Princess Comes Across is a 1936 romantic comedy-mystery film starring Fred MacMurray and Carole Lombard, set largely aboard an ocean liner.
  • D. Princess of the Kingdom
    Princess of the Kingdom is a royal title typically held by Aurora, a noble heroine often depicted as a kind and graceful member of a ruling monarchy in fairy-tale settings.
  • E. Princess Crossing
    Princess Crossing is a local shopping centre serving the Roodepoort area in Gauteng, South Africa, with a variety of retail stores and services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Princess and the Marine
Target entity description: The Princess and the Marine is a 2001 television drama film based on the true story of a forbidden romance between a Bahraini princess and a U.S. Marine.
  • A. The Princess and the Pirate
    The Princess and the Pirate is a 1944 Technicolor comedy-adventure film starring Bob Hope and Virginia Mayo that parodies swashbuckling pirate tales with slapstick humor and romantic escapades.
  • B. The Princess and the Pearl
    The Princess and the Pearl is a children's fantasy novel by E. D. Baker that follows a young princess on a magical undersea adventure filled with merfolk, danger, and self-discovery.
  • C. The Princess Comes Across
    The Princess Comes Across is a 1936 romantic comedy-mystery film starring Fred MacMurray and Carole Lombard, set largely aboard an ocean liner.
  • D. Princess of the Kingdom
    Princess of the Kingdom is a royal title typically held by Aurora, a noble heroine often depicted as a kind and graceful member of a ruling monarchy in fairy-tale settings.
  • E. Princess Crossing
    Princess Crossing is a local shopping centre serving the Roodepoort area in Gauteng, South Africa, with a variety of retail stores and services.
  • F. None of above. chosen

Provenance (2 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a75352c8190bcd46759562ee251 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.