Triple

T35699148
Position Surface form Disambiguated ID Type / Status
Subject Poosh 'Em Up E1031528 entity
Predicate colorfulNicknameOf P161726 FINISHED
Object Hall of Fame second baseman Tony Lazzeri
Hall of Fame second baseman Tony Lazzeri was a star infielder for the New York Yankees in the 1920s and 1930s, renowned as a key member of the legendary "Murderers' Row" lineup.
 E2150988 NE FINISHED

How this triple was built (3 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: Hall of Fame second baseman Tony Lazzeri | Statement: [Poosh 'Em Up, colorfulNicknameOf, Hall of Fame second baseman Tony Lazzeri]
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: Hall of Fame second baseman Tony Lazzeri
Triple: [Poosh 'Em Up, colorfulNicknameOf, Hall of Fame second baseman Tony Lazzeri]
Generated description
Hall of Fame second baseman Tony Lazzeri was a star infielder for the New York Yankees in the 1920s and 1930s, renowned as a key member of the legendary "Murderers' Row" lineup.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: colorfulNicknameOf
Context triple: [Poosh 'Em Up, colorfulNicknameOf, Hall of Fame second baseman Tony Lazzeri]
  • A. kitColorsNickname
    Indicates that a particular kit color scheme is associated with or referred to by a specific nickname.
  • B. hasNicknames
    Indicates that an entity is known or referred to by one or more alternative informal names.
  • C. nicknamedFor
    Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
  • D. shapeInspiredNickname
    Indicates that one entity’s physical shape or form served as the inspiration for another entity’s nickname.
  • E. surfaceColorNickname chosen
    Indicates that an entity has a commonly used or informal nickname referring specifically to its surface color.
  • F. None of above.

Provenance (6 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_69f76e0d393c8190b6303c64408736db completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7bbf906d8819099020e548dd56bc9 completed May 3, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38729832208190b9c605c1a4b757bc completed June 21, 2026, 11:24 p.m.
NEDg Description generation batch_6a38735c90fc8190a9820817feb0a606 completed June 21, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a3873c1a9b081908769cadd77cc2ca2 completed June 21, 2026, 11:29 p.m.
PD Predicate disambiguation batch_69f7b9a2dcf88190a7c9e109e41267be completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:05 p.m.