Triple

T13854767
Position Surface form Disambiguated ID Type / Status
Subject Future User E333033 entity
Predicate hasNotableWork P4 FINISHED
Object Mountain Lion E944816 NE FINISHED

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: Mountain Lion | Statement: [Future User, hasNotableWork, Mountain Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mountain Lion
Context triple: [Future User, hasNotableWork, Mountain Lion]
  • A. Rocky the Mountain Lion
    Rocky the Mountain Lion is the high-energy, acrobatic mascot of the NBA’s Denver Nuggets, known for his crowd-pleasing stunts and in-game entertainment.
  • B. The Mountain Lion chosen
    The Mountain Lion is a 1947 coming-of-age novel by Jean Stafford that explores the intense, often disturbing bond between a brother and sister growing up in the American West.
  • C. Cougar
    Cougar is a skilled and taciturn sniper who serves as one of the key members of the special forces team in the action film "The Losers" (2010).
  • D. Bobcat
    Bobcat is the wild feline species that serves as the official mascot of New York University and is known for its agility and adaptability across North America.
  • E. Bobcat
    Bobcat is a well-known manufacturer of compact construction and agricultural equipment, particularly recognized for its skid-steer loaders and other versatile machinery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02db9c9c81909bb2d2fbfb7394b1 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f924808190856dd0116962eda7 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.