Triple
T8291473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Takes a Holiday |
E193906
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Guy Standing
Guy Standing was a British stage and film actor of the early 20th century, known for his distinguished character roles in Hollywood productions.
|
E723477
|
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: Guy Standing | Statement: [Death Takes a Holiday, starring, Guy Standing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Standing Context triple: [Death Takes a Holiday, starring, Guy Standing]
-
A.
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
John Sloman
John Sloman is a Welsh rock singer and keyboardist best known for his work with bands like Uriah Heep and Lone Star as well as his solo projects.
-
C.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
-
D.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
E.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
- 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: Guy Standing Triple: [Death Takes a Holiday, starring, Guy Standing]
Generated description
Guy Standing was a British stage and film actor of the early 20th century, known for his distinguished character roles in Hollywood productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guy Standing Target entity description: Guy Standing was a British stage and film actor of the early 20th century, known for his distinguished character roles in Hollywood productions.
-
A.
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
John Sloman
John Sloman is a Welsh rock singer and keyboardist best known for his work with bands like Uriah Heep and Lone Star as well as his solo projects.
-
C.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
-
D.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
E.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9b65e0819083ddc82fb7c4a5f3 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68916c5481908c42f259298b0670 |
completed | April 1, 2026, 6:48 p.m. |
| NEDg | Description generation | batch_69cd6d567c3c81908a7ec5bc13be529d |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e3e2f848190a22ad8739bb8e298 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:52 p.m.