Triple
T3378733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Second Coming |
E71128
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Peter Armitage
Peter Armitage was a British actor best known for his long-running role as Bill Webster in the soap opera "Coronation Street."
|
E354411
|
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: Peter Armitage | Statement: [The Second Coming, starring, Peter Armitage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Armitage Context triple: [The Second Coming, starring, Peter Armitage]
-
A.
Peter Garnsey
Peter Garnsey is a prominent historian of the ancient world, particularly known for his influential scholarship on the social, economic, and legal history of the Roman Empire.
-
B.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
C.
Peter Savage
Peter Savage was an author whose work served as the basis for the acclaimed boxing film "Raging Bull."
-
D.
David Hartnett
David Hartnett is a British civil servant best known for serving as the Permanent Secretary for Tax at HM Revenue and Customs, where he was the UK's top tax official.
-
E.
James Abercrombie
James Abercrombie was a British Army officer who fought in the early campaigns of the American Revolutionary War, including the Battle of Bunker Hill.
- 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: Peter Armitage Triple: [The Second Coming, starring, Peter Armitage]
Generated description
Peter Armitage was a British actor best known for his long-running role as Bill Webster in the soap opera "Coronation Street."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Armitage Target entity description: Peter Armitage was a British actor best known for his long-running role as Bill Webster in the soap opera "Coronation Street."
-
A.
Peter Garnsey
Peter Garnsey is a prominent historian of the ancient world, particularly known for his influential scholarship on the social, economic, and legal history of the Roman Empire.
-
B.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
C.
Peter Savage
Peter Savage was an author whose work served as the basis for the acclaimed boxing film "Raging Bull."
-
D.
David Hartnett
David Hartnett is a British civil servant best known for serving as the Permanent Secretary for Tax at HM Revenue and Customs, where he was the UK's top tax official.
-
E.
James Abercrombie
James Abercrombie was a British Army officer who fought in the early campaigns of the American Revolutionary War, including the Battle of Bunker Hill.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bc17dd881908fc5fb0d4a23f40f |
completed | March 12, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69b34e45a6c08190a0011eaa60f3d50a |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34eba517881908806b1ac285448ff |
completed | March 12, 2026, 11:39 p.m. |
Created at: March 8, 2026, 3:14 p.m.