Triple
T22938652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Irwin Miller |
E569657
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Will Miller
Will Miller is an American business executive best known as a member of the influential Miller family behind Cummins Inc. and a leader in corporate and civic affairs.
|
E1562561
|
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: Will Miller | Statement: [Joseph Irwin Miller, hasChild, Will Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Miller Context triple: [Joseph Irwin Miller, hasChild, Will Miller]
-
A.
Ty Miller
Ty Miller is an American actor best known for his role as The Kid in the television western series "The Young Riders."
-
B.
Fred Miller
Fred Miller is a former American football offensive tackle best known for his NFL career with teams including the St. Louis Rams and Chicago Bears.
-
C.
Phil Miller
Phil Miller is a member of the National Health political party in the United Kingdom.
-
D.
Tom Miller
Tom Miller is the son of Ellie Miller, a central character in the British crime drama series "Broadchurch."
-
E.
Tom Miller
Tom Miller is the male protagonist in the 1956 rock-and-roll comedy film "The Girl Can’t Help It," around whom much of the romantic and musical plot revolves.
- 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: Will Miller Triple: [Joseph Irwin Miller, hasChild, Will Miller]
Generated description
Will Miller is an American business executive best known as a member of the influential Miller family behind Cummins Inc. and a leader in corporate and civic affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Miller Target entity description: Will Miller is an American business executive best known as a member of the influential Miller family behind Cummins Inc. and a leader in corporate and civic affairs.
-
A.
Ty Miller
Ty Miller is an American actor best known for his role as The Kid in the television western series "The Young Riders."
-
B.
Fred Miller
Fred Miller is a former American football offensive tackle best known for his NFL career with teams including the St. Louis Rams and Chicago Bears.
-
C.
Phil Miller
Phil Miller is a member of the National Health political party in the United Kingdom.
-
D.
Tom Miller
Tom Miller is the son of Ellie Miller, a central character in the British crime drama series "Broadchurch."
-
E.
Tom Miller
Tom Miller is the male protagonist in the 1956 rock-and-roll comedy film "The Girl Can’t Help It," around whom much of the romantic and musical plot revolves.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181378660819083239986c846ec17 |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc252cae48190bd7407dd38a21b19 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc455519c8190971c20082604846c |
completed | May 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc533510c8190a286a7ebb1e7c3b7 |
completed | May 19, 2026, 2:04 a.m. |
Created at: April 17, 2026, 3:45 p.m.