Triple

T19995604
Position Surface form Disambiguated ID Type / Status
Subject Jellicle cats E494183 entity
Predicate hasMember P10 FINISHED
Object Victoria
Victoria is a graceful white Jellicle cat and prominent dancing character in the musical "Cats."
E1408076 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: [Jellicle cats, hasMember, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria
Context triple: [Jellicle cats, hasMember, 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 coastal city on the southern tip of Vancouver Island known for its historic architecture, mild climate, and vibrant tourism industry.
  • C. Victoria
    Victoria is a vengeful vampire antagonist from the Twilight series who relentlessly hunts Bella Swan and opposes the Cullen family.
  • D. Victoria
    Victoria is the birth name of American singer-songwriter Tori Kelly, known for her powerful vocals and blend of pop, R&B, and gospel influences.
  • 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: [Jellicle cats, hasMember, Victoria]
Generated description
Victoria is a graceful white Jellicle cat and prominent dancing character in the musical "Cats."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria
Target entity description: Victoria is a graceful white Jellicle cat and prominent dancing character in the musical "Cats."
  • A. Victoria
    Victoria is a vengeful vampire antagonist from the Twilight series who relentlessly hunts Bella Swan and opposes the Cullen family.
  • B. Victoria
    Victoria is the birth name of American singer-songwriter Tori Kelly, known for her powerful vocals and blend of pop, R&B, and gospel influences.
  • C. Victoria
    Victoria is a central character in Stephen Adly Guirgis’s dark comedy play "The Motherfucker with the Hat," known for her volatile relationship dynamics and sharp, streetwise personality.
  • D. Victoria
    Victoria is the full given name of the fictional soap opera character Viki Lord from the American television series "One Life to Live."
  • E. Victoria
    Victoria is a British historical drama television series that chronicles the early life and reign of Queen Victoria.
  • F. None of above. chosen

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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0815f277ec8190b7f4a15baa3ceb49 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a081675aebc8190918dc43e76468d08 completed May 16, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_6a08171724cc81908d6997dbae84ad9e completed May 16, 2026, 7:04 a.m.
Created at: April 11, 2026, 3:31 p.m.