Triple
T14858146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City Royals Hall of Fame |
E349413
|
entity |
| Predicate | hasInductee |
P1750
|
FINISHED |
| Object |
Cookie Rojas
Cookie Rojas is a former Major League Baseball second baseman, coach, and manager best known for his All-Star years with the Kansas City Royals and long career in professional baseball.
|
E1124140
|
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: Cookie Rojas | Statement: [Kansas City Royals Hall of Fame, hasInductee, Cookie Rojas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cookie Rojas Context triple: [Kansas City Royals Hall of Fame, hasInductee, Cookie Rojas]
-
A.
Tookie De La Crème
Tookie De La Crème is the quirky, insecure teenage heroine of Tyra Banks’s fantasy novel "Modelland," who is unexpectedly chosen to enter a mysterious, elite modeling world.
-
B.
Nacho
Nacho is a common Spanish nickname for the given name Ignacio.
-
C.
Rosaroll
Rosaroll was an Italian Philhellene and military figure known for supporting the Greek War of Independence in the early 19th century.
-
D.
Dulcé
Dulcé is a stand-up comedian and actress best known as a correspondent on "The Daily Show."
-
E.
Caramelo
"Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
- 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: Cookie Rojas Triple: [Kansas City Royals Hall of Fame, hasInductee, Cookie Rojas]
Generated description
Cookie Rojas is a former Major League Baseball second baseman, coach, and manager best known for his All-Star years with the Kansas City Royals and long career in professional baseball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cookie Rojas Target entity description: Cookie Rojas is a former Major League Baseball second baseman, coach, and manager best known for his All-Star years with the Kansas City Royals and long career in professional baseball.
-
A.
Tookie De La Crème
Tookie De La Crème is the quirky, insecure teenage heroine of Tyra Banks’s fantasy novel "Modelland," who is unexpectedly chosen to enter a mysterious, elite modeling world.
-
B.
Nacho
Nacho is a common Spanish nickname for the given name Ignacio.
-
C.
Rosaroll
Rosaroll was an Italian Philhellene and military figure known for supporting the Greek War of Independence in the early 19th century.
-
D.
Dulcé
Dulcé is a stand-up comedian and actress best known as a correspondent on "The Daily Show."
-
E.
Caramelo
"Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650a43bc8190b836fe690d2a3c71 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66a5f3a88190827c6c9247323153 |
completed | May 8, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6736ff34819098524e4401a414aa |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:54 a.m.