Triple
T4489314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Waterman King |
E107328
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Hannah Waterman
Hannah Waterman is an English actress best known for her role as Laura Beale in the BBC soap opera EastEnders.
|
E446954
|
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: Hannah Waterman | Statement: [Hannah Waterman King, birthName, Hannah Waterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Waterman Context triple: [Hannah Waterman King, birthName, Hannah Waterman]
-
A.
Sophie Dahl
Sophie Dahl is an English author and former fashion model, known for her novels and cookbooks as well as being the granddaughter of writer Roald Dahl.
-
B.
Hannah Waterman King
Hannah Waterman King was the mother of American Revolutionary War figure Benedict Arnold and a colonial-era resident of New England.
-
C.
Lucy Briers
Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
D.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
E.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
- 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: Hannah Waterman Triple: [Hannah Waterman King, birthName, Hannah Waterman]
Generated description
Hannah Waterman is an English actress best known for her role as Laura Beale in the BBC soap opera EastEnders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hannah Waterman Target entity description: Hannah Waterman is an English actress best known for her role as Laura Beale in the BBC soap opera EastEnders.
-
A.
Sophie Dahl
Sophie Dahl is an English author and former fashion model, known for her novels and cookbooks as well as being the granddaughter of writer Roald Dahl.
-
B.
Hannah Waterman King
Hannah Waterman King was the mother of American Revolutionary War figure Benedict Arnold and a colonial-era resident of New England.
-
C.
Lucy Briers
Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
-
D.
Tamsin Olivier
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
E.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd52ad36748190b791de458f2116b2 |
completed | March 20, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67a90f308190ab4f912cd1e2f692 |
completed | March 20, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_69bd68d76cfc819083071015add540dc |
completed | March 20, 2026, 3:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd698f0f148190ae3ad5193cba0851 |
completed | March 20, 2026, 3:36 p.m. |
Created at: March 20, 2026, 12:59 p.m.