Triple

T18710073
Position Surface form Disambiguated ID Type / Status
Subject Luis Mandoki E457482 entity
Predicate notableWork P4 FINISHED
Object White Palace NE NERFINISHED

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: White Palace | Statement: [Luis Mandoki, notableWork, White Palace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Palace
Context triple: [Luis Mandoki, notableWork, White Palace]
  • A. White Palace
    White Palace is a prominent royal residence within Tehran’s Sa’dabad Complex, historically used by Iran’s Pahlavi dynasty as an official palace.
  • B. White Palace chosen
    White Palace is a 1990 romantic drama film starring Susan Sarandon and James Spader, known for its exploration of a passionate relationship that crosses class and age boundaries.
  • C. White Palace
    White Palace is the residential and administrative section of Lhasa’s Potala Palace complex, historically serving as the living quarters and governmental center of the Dalai Lamas.
  • D. White Palace
    White Palace is a museum, formally known as the Museum of Nations, that showcases cultural and historical exhibits.
  • E. The Palace
    The Palace is a British satirical television drama that imagines the inner workings and scandals of a fictional modern royal family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671a3c8c81909466bf5d81477a37 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.