Triple
T14296276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suki Waterhouse |
E354446
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Imogen Waterhouse
Imogen Waterhouse is a British model and actress known for her work in fashion campaigns and roles in film and television.
|
E1115455
|
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: Imogen Waterhouse | Statement: [Suki Waterhouse, hasSibling, Imogen Waterhouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imogen Waterhouse Context triple: [Suki Waterhouse, hasSibling, Imogen Waterhouse]
-
A.
Imogen Harding
Imogen Harding is a notable individual associated with the Harding family name, recognized as a distinguished bearer of the surname.
-
B.
Imogen Knight
Imogen Knight is a Canadian choreographer and movement director known for her work in theatre, dance, and film.
-
C.
Imogen Hassall
Imogen Hassall was a British actress of the 1960s and 1970s, often cast in glamorous or provocative roles in film and television.
-
D.
Imogen Cooper
Imogen Cooper is a renowned British classical pianist celebrated for her interpretations of composers such as Schubert and Mozart and her distinguished international concert career.
-
E.
Imogen Crawford
Imogen Crawford is a notable individual who carries the Crawford surname, recognized as a distinguished bearer of that family name.
- 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: Imogen Waterhouse Triple: [Suki Waterhouse, hasSibling, Imogen Waterhouse]
Generated description
Imogen Waterhouse is a British model and actress known for her work in fashion campaigns and roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Imogen Waterhouse Target entity description: Imogen Waterhouse is a British model and actress known for her work in fashion campaigns and roles in film and television.
-
A.
Imogen Harding
Imogen Harding is a notable individual associated with the Harding family name, recognized as a distinguished bearer of the surname.
-
B.
Imogen Knight
Imogen Knight is a Canadian choreographer and movement director known for her work in theatre, dance, and film.
-
C.
Imogen Hassall
Imogen Hassall was a British actress of the 1960s and 1970s, often cast in glamorous or provocative roles in film and television.
-
D.
Imogen Cooper
Imogen Cooper is a renowned British classical pianist celebrated for her interpretations of composers such as Schubert and Mozart and her distinguished international concert career.
-
E.
Imogen Crawford
Imogen Crawford is a notable individual who carries the Crawford surname, recognized as a distinguished bearer of that family name.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06f22148190a750a012397b2c68 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf3a3f3088190bc1df18f81edea12 |
completed | May 8, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf4144f4c8190b5a865cda5d17809 |
completed | May 8, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:11 a.m.