Triple

T12983648
Position Surface form Disambiguated ID Type / Status
Subject Short Treatise E321713 entity
Predicate hasTitle P38 FINISHED
Object Short Treatise E321713 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: Short Treatise | Statement: [Short Treatise, hasTitle, Short Treatise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Short Treatise
Context triple: [Short Treatise, hasTitle, Short Treatise]
  • A. Short Treatise chosen
    Short Treatise is an early philosophical work by Baruch Spinoza that presents his developing ideas on God, human nature, and the path to happiness in a more accessible form than his later Ethics.
  • B. Short Studies on Great Subjects
    Short Studies on Great Subjects is a collection of historical and literary essays by Victorian historian and essayist James Anthony Froude.
  • C. Short
    Short is an English-language surname of Anglo-Saxon origin, historically given as a descriptive nickname for a person of small stature.
  • D. A Very Short Story
    "A Very Short Story" is a brief World War I–themed narrative by Ernest Hemingway, known for its concise style and emotional understatement, later collected in his book *In Our Time*.
  • E. Short n’ Sweet
    Short n’ Sweet is a pop album by American singer Sabrina Carpenter, showcasing her playful lyricism and polished, hook-heavy sound.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5ca33481909a6cb06c636889f9 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f4320881909d66eaa48f888fab completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:39 p.m.