Triple
T22260067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Laurent of Belgium |
E550195
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Claire Coombs
Claire Coombs is a British-born Belgian princess and civil engineer who became Princess Claire of Belgium upon her marriage to Prince Laurent.
|
E1544151
|
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: Claire Coombs | Statement: [Prince Laurent of Belgium, spouse, Claire Coombs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Coombs Context triple: [Prince Laurent of Belgium, spouse, Claire Coombs]
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Claire Wright
Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
-
C.
Claire Johnston
Claire Johnston is an actress known for her role in Peter Greenaway’s 1999 film "8½ Women."
-
D.
Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
-
E.
Claire Conway
Claire Conway is a fictional character played by English actress Bel Powley, likely featured in a film or television drama.
- 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: Claire Coombs Triple: [Prince Laurent of Belgium, spouse, Claire Coombs]
Generated description
Claire Coombs is a British-born Belgian princess and civil engineer who became Princess Claire of Belgium upon her marriage to Prince Laurent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claire Coombs Target entity description: Claire Coombs is a British-born Belgian princess and civil engineer who became Princess Claire of Belgium upon her marriage to Prince Laurent.
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Claire Wright
Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
-
C.
Claire Johnston
Claire Johnston is an actress known for her role in Peter Greenaway’s 1999 film "8½ Women."
-
D.
Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
-
E.
Claire Conway
Claire Conway is a fictional character played by English actress Bel Powley, likely featured in a film or television drama.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c5b54c8190854690ba599639fa |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d402d408190979a1c51af2fa275 |
completed | May 18, 2026, 4:24 p.m. |
| NEDg | Description generation | batch_6a0b3e659bbc81908ebe404365577ddf |
completed | May 18, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3f401fb08190b59206d6e5edbaf7 |
completed | May 18, 2026, 4:33 p.m. |
Created at: April 16, 2026, 8:39 p.m.