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 |
—
|
NE NERFINISHED |
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: Hall of Fame second baseman Tony Lazzeri | Statement: [Poosh 'Em Up, colorfulNicknameOf, Hall of Fame second baseman Tony Lazzeri]
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 (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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:05 p.m.