Triple

T18710646
Position Surface form Disambiguated ID Type / Status
Subject Mr. Whiskers E457500 entity
Predicate productionCompanyOfWork P25234 FINISHED
Object Mandalay Vision 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: Mandalay Vision | Statement: [Mr. Whiskers, productionCompanyOfWork, Mandalay Vision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandalay Vision
Context triple: [Mr. Whiskers, productionCompanyOfWork, Mandalay Vision]
  • A. Mandalay Vision chosen
    Mandalay Vision is a film production company known for producing feature films such as the biographical drama "Soul Surfer."
  • B. Bridge of Vision
    Bridge of Vision is the English meaning of the name of the Seri Wawasan Bridge, a distinctive modern cable-stayed bridge in Putrajaya, Malaysia.
  • C. Divine Eye
    The Divine Eye is the central sacred emblem of Caodaism, representing the all-seeing presence and guidance of the Supreme Being.
  • D. The Eyes of Buddha
    The Eyes of Buddha is a mystery novel by American author John Ball, best known for creating the character Virgil Tibbs.
  • E. العيون
    العيون هي مدينة سعودية تقع في المنطقة الشرقية وتُعرف بطابعها الزراعي وقربها من واحة الأحساء.
  • 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_69e5671b34508190b6180f7d6ad50a58 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.