Triple
T10469507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Whitehouse |
E246886
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Lauren Whitehouse
Lauren Whitehouse is known as the daughter of British comedian and actor Paul Whitehouse.
|
E866776
|
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: Lauren Whitehouse | Statement: [Paul Whitehouse, hasChild, Lauren Whitehouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Whitehouse Context triple: [Paul Whitehouse, hasChild, Lauren Whitehouse]
-
A.
Lauren Hutchinson
Lauren Hutchinson is a central teenage character in the short-lived 1980s American sitcom "Square Pegs," which focused on the social struggles of high school misfits.
-
B.
Molly Whitehouse
Molly Whitehouse is known as the daughter of Welsh comedian and actor Paul Whitehouse.
-
C.
Jessica Whitly
Jessica Whitly is a central character in the crime drama series "Prodigal Son," known as the elegant yet morally ambiguous matriarch of a family haunted by her husband's serial killings.
-
D.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
E.
Lauren Maltby
Lauren Maltby is an American former child actress and psychologist best known for her role as Margie Hammond in Disney Channel’s "Zenon" film series.
- 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: Lauren Whitehouse Triple: [Paul Whitehouse, hasChild, Lauren Whitehouse]
Generated description
Lauren Whitehouse is known as the daughter of British comedian and actor Paul Whitehouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Whitehouse Target entity description: Lauren Whitehouse is known as the daughter of British comedian and actor Paul Whitehouse.
-
A.
Lauren Hutchinson
Lauren Hutchinson is a central teenage character in the short-lived 1980s American sitcom "Square Pegs," which focused on the social struggles of high school misfits.
-
B.
Molly Whitehouse
Molly Whitehouse is known as the daughter of Welsh comedian and actor Paul Whitehouse.
-
C.
Jessica Whitly
Jessica Whitly is a central character in the crime drama series "Prodigal Son," known as the elegant yet morally ambiguous matriarch of a family haunted by her husband's serial killings.
-
D.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
E.
Lauren Maltby
Lauren Maltby is an American former child actress and psychologist best known for her role as Margie Hammond in Disney Channel’s "Zenon" film series.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69d8e8c683608190aa4333ed38e79f53 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901e1ecf88190acd24a0e20462cb9 |
completed | April 10, 2026, 1:57 p.m. |
Created at: April 6, 2026, 12:20 p.m.