Triple

T21446115
Position Surface form Disambiguated ID Type / Status
Subject Mammoth Screen E529079 entity
Predicate notableWork P4 FINISHED
Object Victoria
"Victoria" is a British historical drama television series that chronicles the early life and reign of Queen Victoria.
 E658261 NE FINISHED

How this triple was built (4 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: Victoria | Statement: [Mammoth Screen, notableWork, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victoria
Context triple: [Mammoth Screen, notableWork, Victoria]
  • A. Victoria
    Victoria is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and agricultural economy.
  • B. Victoria
    Victoria is a vengeful vampire antagonist from the Twilight series who relentlessly hunts Bella Swan and opposes the Cullen family.
  • C. Victoria
    Victoria is the birth name of American actress and model Tanya Roberts, known for her roles in "Charlie's Angels" and the James Bond film "A View to a Kill."
  • D. Victoria
    Victoria is a coastal city on the southern tip of Vancouver Island known for its historic architecture, mild climate, and vibrant tourism industry.
  • E. Victoria
    Victoria is a former WWE wrestler best known for her powerful in-ring style and prominent role in the women's division during the Ruthless Aggression era.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Victoria
Triple: [Mammoth Screen, notableWork, Victoria]
Generated description
"Victoria" is a British historical drama television series that chronicles the early life and reign of Queen Victoria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Victoria
Target entity description: "Victoria" is a British historical drama television series that chronicles the early life and reign of Queen Victoria.
  • A. Victoria chosen
    Victoria is a British historical drama television series that chronicles the early life and reign of Queen Victoria.
  • B. Victoria
    Victoria was the long-reigning 19th-century British queen whose era saw vast industrial, cultural, and imperial expansion.
  • C. Victoria
    Victoria is the full given name of the fictional soap opera character Viki Lord from the American television series "One Life to Live."
  • D. Victoria
    "Victoria" is a 1969 rock song by the British band The Kinks, known for its satirical take on British imperialism and its energetic, guitar-driven sound.
  • E. Victoria
    Victoria is the middle name of Lady Rose Gilman, a member of the British royal family.
  • F. None of above.

Provenance (5 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9cea7bc81909ee3e1cdeda1fe7e completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfe7cedc81909660e942c5807d60 completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d07bfe6881908e76b8bd67985322 completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d19bac548190b78121d21108ecd2 completed May 17, 2026, 2:32 p.m.
Created at: April 16, 2026, 6:06 p.m.