Triple
T1590176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1917 World Series |
E34160
|
entity |
| Predicate | notablePitcher |
P7082
|
FINISHED |
| Object |
Red Faber
Red Faber was a Hall of Fame Major League Baseball pitcher best known for his long career with the Chicago White Sox in the 1910s and 1920s.
|
E181141
|
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: Red Faber | Statement: [1917 World Series, notablePitcher, Red Faber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Faber Context triple: [1917 World Series, notablePitcher, Red Faber]
-
A.
White Elster
White Elster is a river in central Europe that flows through parts of Germany, including the city of Gera, before joining the Saale River.
-
B.
Faber Factory
Faber Factory is a digital publishing and distribution imprint associated with the British publishing house Faber and Faber, focused on helping publishers and authors manage and distribute e-books.
-
C.
Figan
Figan is an individual known primarily through their familial relationship as the child of Flo.
-
D.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
E.
Ficker
Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
- 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: Red Faber Triple: [1917 World Series, notablePitcher, Red Faber]
Generated description
Red Faber was a Hall of Fame Major League Baseball pitcher best known for his long career with the Chicago White Sox in the 1910s and 1920s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Faber Target entity description: Red Faber was a Hall of Fame Major League Baseball pitcher best known for his long career with the Chicago White Sox in the 1910s and 1920s.
-
A.
White Elster
White Elster is a river in central Europe that flows through parts of Germany, including the city of Gera, before joining the Saale River.
-
B.
Faber Factory
Faber Factory is a digital publishing and distribution imprint associated with the British publishing house Faber and Faber, focused on helping publishers and authors manage and distribute e-books.
-
C.
Figan
Figan is an individual known primarily through their familial relationship as the child of Flo.
-
D.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
E.
Ficker
Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9090e251c81909ebb21a6b6262303 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad469eaf588190ac6db1c8fb7fa04e |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad479c0a0c8190b2ccef1bbc7c0b1a |
completed | March 8, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad48642590819082f4102f6b860a65 |
completed | March 8, 2026, 9:59 a.m. |
Created at: March 4, 2026, 7:27 p.m.