Triple

T8867981
Position Surface form Disambiguated ID Type / Status
Subject Carl Spitz E211066 entity
Predicate notableStudent P4838 FINISHED
Object Toto E115952 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: Toto | Statement: [Carl Spitz, notableStudent, Toto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toto
Context triple: [Carl Spitz, notableStudent, Toto]
  • A. Toto
    Toto is the nickname of Italian former footballer Salvatore Schillaci, famed for his standout goal-scoring performance at the 1990 FIFA World Cup.
  • B. Toto chosen
    Toto is the small, loyal dog who accompanies Dorothy Gale on her adventures in L. Frank Baum’s "The Wonderful Wizard of Oz" and its adaptations.
  • C. Toto
    Toto is a local government area in Nasarawa State, Nigeria, known for its predominantly rural communities and agrarian-based economy.
  • D. Toto
    Toto is an American rock band best known for hits like "Africa," "Rosanna," and "Hold the Line," blending pop, rock, and jazz influences.
  • E. TOM the Tiger
    TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab9764388190a57ca0c0bb890523 completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:51 p.m.