Triple
T260555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 World Series |
E5530
|
entity |
| Predicate | umpireCrewChief |
P6421
|
FINISHED |
| Object |
John Hirschbeck
John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
|
E136668
|
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: John Hirschbeck | Statement: [2013 World Series, umpireCrewChief, John Hirschbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hirschbeck Context triple: [2013 World Series, umpireCrewChief, John Hirschbeck]
-
A.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
B.
John Pleffer
John Pleffer is an Australian architect best known as the husband of acclaimed film director Gillian Armstrong.
-
C.
Marc Ewing
Marc Ewing is an American software engineer and entrepreneur best known as a co-founder of the open-source software company Red Hat.
-
D.
James Honaker
James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
-
E.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
- 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: John Hirschbeck Triple: [2013 World Series, umpireCrewChief, John Hirschbeck]
Generated description
John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Hirschbeck Target entity description: John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
-
A.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
B.
John Pleffer
John Pleffer is an Australian architect best known as the husband of acclaimed film director Gillian Armstrong.
-
C.
Marc Ewing
Marc Ewing is an American software engineer and entrepreneur best known as a co-founder of the open-source software company Red Hat.
-
D.
James Honaker
James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
-
E.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d72dad4819092c9502e6e4edc44 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7623e27c81909022abd9950753d1 |
completed | March 7, 2026, 7:01 p.m. |
| NEDg | Description generation | batch_69ac770141a88190b71552d46fb4d2ad |
completed | March 7, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac777a7768819098b9d4dd771a6750 |
completed | March 7, 2026, 7:07 p.m. |
Created at: Feb. 28, 2026, 2:55 a.m.