Triple
T2146568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Hague |
E47078
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ffion Hague
Ffion Hague is a Welsh civil servant, management consultant, and author, known both for her professional career and as the wife of former UK Foreign Secretary William Hague.
|
E240361
|
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: Ffion Hague | Statement: [William Hague, spouse, Ffion Hague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ffion Hague Context triple: [William Hague, spouse, Ffion Hague]
-
A.
Bethan Phillips
Bethan Phillips was the wife of influential Welsh Protestant minister and preacher Martyn Lloyd-Jones.
-
B.
Sian Lovell
Sian Lovell is a distinguished geoscientist recognized for her significant contributions to the Earth sciences, as evidenced by her receipt of the prestigious William Smith Medal.
-
C.
Holly Faulks
Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
-
D.
Fiona Black
Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
-
E.
Rachael MacFarlane
Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
- 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: Ffion Hague Triple: [William Hague, spouse, Ffion Hague]
Generated description
Ffion Hague is a Welsh civil servant, management consultant, and author, known both for her professional career and as the wife of former UK Foreign Secretary William Hague.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ffion Hague Target entity description: Ffion Hague is a Welsh civil servant, management consultant, and author, known both for her professional career and as the wife of former UK Foreign Secretary William Hague.
-
A.
Bethan Phillips
Bethan Phillips was the wife of influential Welsh Protestant minister and preacher Martyn Lloyd-Jones.
-
B.
Sian Lovell
Sian Lovell is a distinguished geoscientist recognized for her significant contributions to the Earth sciences, as evidenced by her receipt of the prestigious William Smith Medal.
-
C.
Holly Faulks
Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
-
D.
Fiona Black
Fiona Black is a notable individual recognized for achievements that have brought distinction to the surname Black.
-
E.
Rachael MacFarlane
Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe25d8848190a3ba691668a68e37 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d75a5c8190b364a4ab5370558a |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae595a222881908d86ba8690c4fc65 |
completed | March 9, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae59efdf4c8190aaa1d63ce6e98696 |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:44 p.m.