Triple

T3401387
Position Surface form Disambiguated ID Type / Status
Subject Tony Pérez E71659 entity
Predicate nickname P55 FINISHED
Object Doggie
Doggie is the nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman and key member of the Cincinnati Reds' "Big Red Machine" teams of the 1970s.
 E356011 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: Doggie | Statement: [Tony Pérez, nickname, Doggie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doggie
Context triple: [Tony Pérez, nickname, Doggie]
  • A. Doggie Julian
    Doggie Julian was a prominent American basketball coach best known for leading the Holy Cross Crusaders to the 1947 NCAA championship and later coaching in the NBA.
  • B. Big Dog
    Big Dog is the nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known as a key run producer for the Cincinnati Reds’ “Big Red Machine” teams of the 1970s.
  • C. Slinky Dog
    Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
  • D. Bumpy Dog
    Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
  • E. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • 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: Doggie
Triple: [Tony Pérez, nickname, Doggie]
Generated description
Doggie is the nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman and key member of the Cincinnati Reds' "Big Red Machine" teams of the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doggie
Target entity description: Doggie is the nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman and key member of the Cincinnati Reds' "Big Red Machine" teams of the 1970s.
  • A. Doggie Julian
    Doggie Julian was a prominent American basketball coach best known for leading the Holy Cross Crusaders to the 1947 NCAA championship and later coaching in the NBA.
  • B. Big Dog chosen
    Big Dog is the nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known as a key run producer for the Cincinnati Reds’ “Big Red Machine” teams of the 1970s.
  • C. Slinky Dog
    Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
  • D. Bumpy Dog
    Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
  • E. Shep
    Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
  • F. None of above.

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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c96d7c8190a1f9d035996f79e3 completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35466945c8190b01aa016608415a0 completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b35546dfa0819081800009fbe8afe3 completed March 13, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69b355cecc4c81908ecb5f83e89b4a00 completed March 13, 2026, 12:09 a.m.
Created at: March 8, 2026, 3:14 p.m.