Triple

T8484354
Position Surface form Disambiguated ID Type / Status
Subject Chicago E200794 entity
Predicate hasAssociatedAct P2830 FINISHED
Object Toto
Toto is an American rock band best known for hits like "Africa," "Rosanna," and "Hold the Line," blending pop, rock, and jazz influences.
 E735671 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: Toto | Statement: [Chicago, hasAssociatedAct, Toto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toto
Context triple: [Chicago, hasAssociatedAct, Toto]
  • A. Toto
    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.
  • B. Toto
    Toto is a local government area in Nasarawa State, Nigeria, known for its predominantly rural communities and agrarian-based economy.
  • C. Toto
    Toto is the nickname of Italian former footballer Salvatore Schillaci, famed for his standout goal-scoring performance at the 1990 FIFA World Cup.
  • D. TOM the Tiger
    TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
  • E. Buggsy
    Buggsy is the nickname of Martin "Buggsy" Goldstein, an American mobster associated with organized crime in the early 20th century.
  • 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: Toto
Triple: [Chicago, hasAssociatedAct, Toto]
Generated description
Toto is an American rock band best known for hits like "Africa," "Rosanna," and "Hold the Line," blending pop, rock, and jazz influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toto
Target entity description: Toto is an American rock band best known for hits like "Africa," "Rosanna," and "Hold the Line," blending pop, rock, and jazz influences.
  • A. Toto
    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.
  • B. Toto
    Toto is a local government area in Nasarawa State, Nigeria, known for its predominantly rural communities and agrarian-based economy.
  • C. Toto
    Toto is the nickname of Italian former footballer Salvatore Schillaci, famed for his standout goal-scoring performance at the 1990 FIFA World Cup.
  • D. TOM the Tiger
    TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
  • E. Buggsy
    Buggsy is the nickname of Martin "Buggsy" Goldstein, an American mobster associated with organized crime in the early 20th century.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe539b70c81909f8f045312f0d5f8 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a3d7cb481908b366f76639bb955 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.