Triple
T9167533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Miller |
E219998
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Arthur Cameron
Arthur Cameron was the husband of American actress and dancer Ann Miller.
|
E782134
|
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: Arthur Cameron | Statement: [Ann Miller, spouse, Arthur Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Cameron Context triple: [Ann Miller, spouse, Arthur Cameron]
-
A.
Stewart Menzies
Stewart Menzies was the head of Britain’s Secret Intelligence Service (MI6) during World War II, overseeing key intelligence operations including those at Bletchley Park.
-
B.
Douglas Gerrard
Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
-
C.
Bruce Gilliat
Bruce Gilliat is an internet entrepreneur best known as the co-founder of Alexa Internet, a pioneering web traffic analysis and ranking service.
-
D.
Michael Anderson
Michael Anderson was a British film director best known for helming notable mid-20th-century films such as "The Dam Busters" and "Around the World in 80 Days."
-
E.
Hugh Hudson
Hugh Hudson was a British film director best known for his Academy Award–winning 1981 sports drama "Chariots of Fire."
- 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: Arthur Cameron Triple: [Ann Miller, spouse, Arthur Cameron]
Generated description
Arthur Cameron was the husband of American actress and dancer Ann Miller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Cameron Target entity description: Arthur Cameron was the husband of American actress and dancer Ann Miller.
-
A.
Stewart Menzies
Stewart Menzies was the head of Britain’s Secret Intelligence Service (MI6) during World War II, overseeing key intelligence operations including those at Bletchley Park.
-
B.
Douglas Gerrard
Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
-
C.
Bruce Gilliat
Bruce Gilliat is an internet entrepreneur best known as the co-founder of Alexa Internet, a pioneering web traffic analysis and ranking service.
-
D.
Michael Anderson
Michael Anderson was a British film director best known for helming notable mid-20th-century films such as "The Dam Busters" and "Around the World in 80 Days."
-
E.
Hugh Hudson
Hugh Hudson was a British film director best known for his Academy Award–winning 1981 sports drama "Chariots of Fire."
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaade47cc81909b5c127dc8aa1340 |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0548b0e6c819090ece33b9ede9fa6 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d055291054819088fa0d2e424b54bd |
completed | April 4, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0564391cc81909c0cea2d49c38fb4 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:22 p.m.