Triple
T3457634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1957 World Series |
E72943
|
entity |
| Predicate | managerOfChampion |
P6867
|
FINISHED |
| Object |
Fred Haney
Fred Haney was an American Major League Baseball manager best known for leading the Milwaukee Braves to a World Series championship in the late 1950s.
|
E359814
|
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: Fred Haney | Statement: [1957 World Series, managerOfChampion, Fred Haney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Haney Context triple: [1957 World Series, managerOfChampion, Fred Haney]
-
A.
Henry Doorly
Henry Doorly was a prominent Omaha newspaper publisher and civic leader whose contributions to the city led to the zoo being named in his honor.
-
B.
Ned Homfeld
Ned Homfeld is an American entrepreneur best known for founding Spirit Airlines, a major U.S. ultra-low-cost carrier.
-
C.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
-
D.
Trever Hagen
Trever Hagen is a music producer known for his work in contemporary recording and sound production.
-
E.
Jerry Dyer
Jerry Dyer is an American politician and former longtime police chief who serves as the mayor of Fresno, California.
- 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: Fred Haney Triple: [1957 World Series, managerOfChampion, Fred Haney]
Generated description
Fred Haney was an American Major League Baseball manager best known for leading the Milwaukee Braves to a World Series championship in the late 1950s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Haney Target entity description: Fred Haney was an American Major League Baseball manager best known for leading the Milwaukee Braves to a World Series championship in the late 1950s.
-
A.
Henry Doorly
Henry Doorly was a prominent Omaha newspaper publisher and civic leader whose contributions to the city led to the zoo being named in his honor.
-
B.
Ned Homfeld
Ned Homfeld is an American entrepreneur best known for founding Spirit Airlines, a major U.S. ultra-low-cost carrier.
-
C.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
-
D.
Trever Hagen
Trever Hagen is a music producer known for his work in contemporary recording and sound production.
-
E.
Jerry Dyer
Jerry Dyer is an American politician and former longtime police chief who serves as the mayor of Fresno, California.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae36e748190bf20fd3c6de22e19 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b36104a1048190b6fa9f552786a85a |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b364c6c2f881909b72a78123cd445d |
completed | March 13, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b365328b188190b44d8690eaa5b12e |
completed | March 13, 2026, 1:15 a.m. |
Created at: March 8, 2026, 3:16 p.m.