Triple
T13185483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir David Jason |
E313837
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sophie Mae White
Sophie Mae White is the daughter of renowned English actor Sir David Jason.
|
E1025982
|
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: Sophie Mae White | Statement: [Sir David Jason, hasChild, Sophie Mae White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Mae White Context triple: [Sir David Jason, hasChild, Sophie Mae White]
-
A.
Frances White
Frances White is an individual best known as the founder of the organization or initiative associated with the name "White's."
-
B.
Frances White
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
-
C.
Elsie Whitaker
Elsie Whitaker was an American bohemian figure of the early 20th century, known for her involvement in the arts and literary circles of Northern California.
-
D.
Earlyn White
Earlyn White is known as the spouse of Ronnie White.
-
E.
Ella Smith
Ella Smith is a British actress known for her work in theatre, including a role in the National Theatre production of "Frankenstein," as well as in film and television.
- 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: Sophie Mae White Triple: [Sir David Jason, hasChild, Sophie Mae White]
Generated description
Sophie Mae White is the daughter of renowned English actor Sir David Jason.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophie Mae White Target entity description: Sophie Mae White is the daughter of renowned English actor Sir David Jason.
-
A.
Frances White
Frances White is an individual best known as the founder of the organization or initiative associated with the name "White's."
-
B.
Frances White
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
-
C.
Elsie Whitaker
Elsie Whitaker was an American bohemian figure of the early 20th century, known for her involvement in the arts and literary circles of Northern California.
-
D.
Earlyn White
Earlyn White is known as the spouse of Ronnie White.
-
E.
Ella Smith
Ella Smith is a British actress known for her work in theatre, including a role in the National Theatre production of "Frankenstein," as well as in film and television.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4b663c8190b0b18f0785f7b57d |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f7a304819081c4f51631948cbd |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 9, 2026, 9:15 p.m.