Triple
T4983549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glynis Johns |
E111945
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Gareth Forwood
Gareth Forwood was a British character actor known for his supporting roles in film and television from the late 1960s through the 1990s.
|
E485724
|
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 Forwood | Statement: [Glynis Johns, child, Gareth Forwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gareth Forwood Context triple: [Glynis Johns, child, Gareth Forwood]
-
A.
Gareth David-Lloyd
Gareth David-Lloyd is a Welsh actor best known for playing Ianto Jones in the Doctor Who spin-off series Torchwood.
-
B.
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."
-
C.
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.
-
D.
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."
-
E.
Gareth Warren
Gareth Warren is an individual notable enough to be recognized as a bearer of the surname Warren, though specific widely known public achievements or roles are not clearly documented.
- 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 Forwood Triple: [Glynis Johns, child, Gareth Forwood]
Generated description
Gareth Forwood was a British character actor known for his supporting roles in film and television from the late 1960s through the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gareth Forwood Target entity description: Gareth Forwood was a British character actor known for his supporting roles in film and television from the late 1960s through the 1990s.
-
A.
Gareth David-Lloyd
Gareth David-Lloyd is a Welsh actor best known for playing Ianto Jones in the Doctor Who spin-off series Torchwood.
-
B.
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."
-
C.
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.
-
D.
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."
-
E.
Gareth Warren
Gareth Warren is an individual notable enough to be recognized as a bearer of the surname Warren, though specific widely known public achievements or roles are not clearly documented.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7255d7b4819098b537df5b1a4c3c |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a13f5448190a49f914d1ba49a7a |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8a9c72848190978797a33d0d83c8 |
completed | March 21, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b3718288190b2fc319fdad0a7c0 |
completed | March 21, 2026, 12:12 p.m. |
Created at: March 20, 2026, 1:33 p.m.