Triple
T6608657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newsround |
E149181
|
entity |
| Predicate | hasNotablePresenter |
P30298
|
FINISHED |
| Object |
Martin Dougan
Martin Dougan is a Scottish television presenter and former wheelchair basketball player best known for his work on the BBC children's news programme Newsround.
|
E624637
|
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: Martin Dougan | Statement: [Newsround, hasNotablePresenter, Martin Dougan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Dougan Context triple: [Newsround, hasNotablePresenter, Martin Dougan]
-
A.
Mark Dargus
Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
-
B.
Derek Brechin
Derek Brechin is a film editor best known for his work on the action movie "Romeo Must Die."
-
C.
Michael Snodgrass
Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
-
D.
Ian Goble
Ian Goble is a musician best known for his role as a member of the Canadian R&B/rock band The Mynah Birds.
-
E.
Scott Devine
Scott Devine is a technology entrepreneur best known as one of the co-founders of VMware, a pioneering company in virtualization and cloud computing.
- 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: Martin Dougan Triple: [Newsround, hasNotablePresenter, Martin Dougan]
Generated description
Martin Dougan is a Scottish television presenter and former wheelchair basketball player best known for his work on the BBC children's news programme Newsround.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Dougan Target entity description: Martin Dougan is a Scottish television presenter and former wheelchair basketball player best known for his work on the BBC children's news programme Newsround.
-
A.
Mark Dargus
Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
-
B.
Derek Brechin
Derek Brechin is a film editor best known for his work on the action movie "Romeo Must Die."
-
C.
Michael Snodgrass
Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
-
D.
Ian Goble
Ian Goble is a musician best known for his role as a member of the Canadian R&B/rock band The Mynah Birds.
-
E.
Scott Devine
Scott Devine is a technology entrepreneur best known as one of the co-founders of VMware, a pioneering company in virtualization and cloud computing.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6d0a262808190a33ac94374affde4 |
completed | March 27, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7422f57848190901b31229825b9e2 |
completed | March 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69c7431d2d5881909daf29caeef37d0d |
completed | March 28, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c743949cbc8190a797666c7d509a1c |
completed | March 28, 2026, 2:57 a.m. |
Created at: March 27, 2026, 1:57 p.m.