Triple
T10979651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Highlanders |
E259466
|
entity |
| Predicate | notableManager |
P896
|
FINISHED |
| Object |
Kid Elberfeld
Kid Elberfeld was an early 20th-century Major League Baseball infielder and manager known for his fiery temperament and tough style of play.
|
E897090
|
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: Kid Elberfeld | Statement: [New York Highlanders, notableManager, Kid Elberfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kid Elberfeld Context triple: [New York Highlanders, notableManager, Kid Elberfeld]
-
A.
Kurt
Kurt is a given name most famously associated with the logician and mathematician Kurt Gödel.
-
B.
Kurt
Kurt is a close associate of Scott Lang in the Marvel universe, known as one of his quirky ex-con partners in crime and heists.
-
C.
Elner Shimfissle
Elner Shimfissle is the quirky, big-hearted elderly protagonist of Fannie Flagg’s novel "Can’t Wait to Get to Heaven," known for her humor, wisdom, and knack for stirring up her small town.
-
D.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
E.
Simon Gratz
Simon Gratz was a prominent Philadelphia lawyer, civic leader, and education advocate in the late 19th and early 20th centuries.
- 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: Kid Elberfeld Triple: [New York Highlanders, notableManager, Kid Elberfeld]
Generated description
Kid Elberfeld was an early 20th-century Major League Baseball infielder and manager known for his fiery temperament and tough style of play.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kid Elberfeld Target entity description: Kid Elberfeld was an early 20th-century Major League Baseball infielder and manager known for his fiery temperament and tough style of play.
-
A.
Kurt
Kurt is a given name most famously associated with the logician and mathematician Kurt Gödel.
-
B.
Kurt
Kurt is a close associate of Scott Lang in the Marvel universe, known as one of his quirky ex-con partners in crime and heists.
-
C.
Elner Shimfissle
Elner Shimfissle is the quirky, big-hearted elderly protagonist of Fannie Flagg’s novel "Can’t Wait to Get to Heaven," known for her humor, wisdom, and knack for stirring up her small town.
-
D.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
E.
Simon Gratz
Simon Gratz was a prominent Philadelphia lawyer, civic leader, and education advocate in the late 19th and early 20th centuries.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772e97cf88190a65dab3ec4e5f7f3 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7cb8fe08190b9de7b970968da48 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff211ae88190a40380cd25a61812 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e32634397481908284c04448274b25 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.