Triple
T12008935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alun Armstrong |
E285854
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sue Armstrong
Sue Armstrong is the wife of British actor Alun Armstrong.
|
E971743
|
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: Sue Armstrong | Statement: [Alun Armstrong, spouse, Sue Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Armstrong Context triple: [Alun Armstrong, spouse, Sue Armstrong]
-
A.
Joan Armstrong
Joan Armstrong is a notable individual distinguished enough to be specifically recognized among people sharing the Armstrong surname.
-
B.
Sue Wilkins
Sue Wilkins is a central character in Arthur C. Clarke’s science fiction novel "A Fall of Moondust," known for her role in the lunar tourism disaster that drives the story’s plot.
-
C.
Sue Johnston
Sue Johnston is an English actress best known for her roles in television dramas such as "Brookside," "The Royle Family," and "Waking the Dead."
-
D.
Sue Lloyd
Sue Lloyd was a British actress best known for her roles in 1960s film and television, including the spy thriller "The Ipcress File" and the TV series "The Baron."
-
E.
Sue Gibson
Sue Gibson was a British cinematographer known for her work on feature films and television, and for serving as the first female president of the British Society of Cinematographers.
- 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: Sue Armstrong Triple: [Alun Armstrong, spouse, Sue Armstrong]
Generated description
Sue Armstrong is the wife of British actor Alun Armstrong.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sue Armstrong Target entity description: Sue Armstrong is the wife of British actor Alun Armstrong.
-
A.
Joan Armstrong
Joan Armstrong is a notable individual distinguished enough to be specifically recognized among people sharing the Armstrong surname.
-
B.
Sue Wilkins
Sue Wilkins is a central character in Arthur C. Clarke’s science fiction novel "A Fall of Moondust," known for her role in the lunar tourism disaster that drives the story’s plot.
-
C.
Sue Johnston
Sue Johnston is an English actress best known for her roles in television dramas such as "Brookside," "The Royle Family," and "Waking the Dead."
-
D.
Sue Lloyd
Sue Lloyd was a British actress best known for her roles in 1960s film and television, including the spy thriller "The Ipcress File" and the TV series "The Baron."
-
E.
Sue Gibson
Sue Gibson was a British cinematographer known for her work on feature films and television, and for serving as the first female president of the British Society of Cinematographers.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a5ccac481908c61fc1109cc6ef6 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60f62fc088190ab9caba49485911b |
completed | May 2, 2026, 2:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60fe8c2ec8190af7c69dd17ea75fe |
completed | May 2, 2026, 2:53 p.m. |
Created at: April 8, 2026, 9:46 p.m.