Triple
T3416318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr Smith |
E72016
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Gareth Roberts
Gareth Roberts is a British television writer and novelist best known for his work on the revived Doctor Who series and related media.
|
E358130
|
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: Gareth Roberts | Statement: [Mr Smith, creator, Gareth Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gareth Roberts Context triple: [Mr Smith, creator, Gareth Roberts]
-
A.
Brian MacDevitt
Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
-
B.
Gareth David-Lloyd
Gareth David-Lloyd is a Welsh actor best known for playing Ianto Jones in the Doctor Who spin-off series Torchwood.
-
C.
Nicholas Hooper
Nicholas Hooper is a British film and television composer best known for scoring the Harry Potter films "Order of the Phoenix" and "Half-Blood Prince."
-
D.
Gareth Hunt
Gareth Hunt was a British actor best known for his roles in the television series "The New Avengers" and the sitcom "Side by Side."
-
E.
Gareth Unwin
Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
- 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: Gareth Roberts Triple: [Mr Smith, creator, Gareth Roberts]
Generated description
Gareth Roberts is a British television writer and novelist best known for his work on the revived Doctor Who series and related media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gareth Roberts Target entity description: Gareth Roberts is a British television writer and novelist best known for his work on the revived Doctor Who series and related media.
-
A.
Brian MacDevitt
Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
-
B.
Gareth David-Lloyd
Gareth David-Lloyd is a Welsh actor best known for playing Ianto Jones in the Doctor Who spin-off series Torchwood.
-
C.
Nicholas Hooper
Nicholas Hooper is a British film and television composer best known for scoring the Harry Potter films "Order of the Phoenix" and "Half-Blood Prince."
-
D.
Gareth Hunt
Gareth Hunt was a British actor best known for his roles in the television series "The New Avengers" and the sitcom "Side by Side."
-
E.
Gareth Unwin
Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92ae6148190958d6bb735258cab |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c285688190a264fcb4ab271b82 |
completed | March 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b3616dec3881908a54fa6500f7efb0 |
completed | March 13, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36211b6b08190ac0cac646160495d |
completed | March 13, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:15 p.m.