Triple
T15036350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Krotons |
E378485
|
entity |
| Predicate | starsActor |
P5563
|
FINISHED |
| Object |
Richard Ireson
Richard Ireson is an actor known for his role in the classic Doctor Who serial "The Krotons."
|
E1132729
|
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: Richard Ireson | Statement: [The Krotons, starsActor, Richard Ireson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Ireson Context triple: [The Krotons, starsActor, Richard Ireson]
-
A.
Richard Talbot
Richard Talbot was a 17th-century Irish soldier and statesman who became a leading Jacobite figure and Lord Deputy of Ireland under King James II.
-
B.
Edward King
Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
-
C.
Richard England
Richard England is a distinguished geologist recognized for his significant contributions to the earth sciences, as evidenced by honors such as the William Smith Medal.
-
D.
John Raithby
John Raithby was a British legal writer and editor best known for his work on authoritative compilations of English statutes in the early 19th century.
-
E.
Richard Hartnett
Richard Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett, though detailed public information about his life or achievements is limited.
- 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: Richard Ireson Triple: [The Krotons, starsActor, Richard Ireson]
Generated description
Richard Ireson is an actor known for his role in the classic Doctor Who serial "The Krotons."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Ireson Target entity description: Richard Ireson is an actor known for his role in the classic Doctor Who serial "The Krotons."
-
A.
Richard Talbot
Richard Talbot was a 17th-century Irish soldier and statesman who became a leading Jacobite figure and Lord Deputy of Ireland under King James II.
-
B.
Edward King
Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
-
C.
Richard England
Richard England is a distinguished geologist recognized for his significant contributions to the earth sciences, as evidenced by honors such as the William Smith Medal.
-
D.
John Raithby
John Raithby was a British legal writer and editor best known for his work on authoritative compilations of English statutes in the early 19th century.
-
E.
Richard Hartnett
Richard Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett, though detailed public information about his life or achievements is limited.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddfc13481909333690016650410 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e7e12488190972b383d66a2651e |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9f0dd1ac8190a802e9b388b9c770 |
completed | May 9, 2026, 2:42 a.m. |
Created at: April 10, 2026, 2:59 a.m.