Triple
T2654838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Wilson |
E53983
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Robin Wilson
Robin Wilson is the son of former British Prime Minister Harold Wilson and his wife Mary Wilson.
|
E286842
|
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: Robin Wilson | Statement: [Harold Wilson, child, Robin Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Wilson Context triple: [Harold Wilson, child, Robin Wilson]
-
A.
Ian Stewart
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
B.
Nigel Hitchin
Nigel Hitchin is a prominent British mathematician known for his influential work in differential and algebraic geometry, particularly the introduction of Higgs bundles and contributions to gauge theory and mirror symmetry.
-
C.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
D.
Richard Sibson
Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
-
E.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
- 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: Robin Wilson Triple: [Harold Wilson, child, Robin Wilson]
Generated description
Robin Wilson is the son of former British Prime Minister Harold Wilson and his wife Mary Wilson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robin Wilson Target entity description: Robin Wilson is the son of former British Prime Minister Harold Wilson and his wife Mary Wilson.
-
A.
Ian Stewart
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
B.
Nigel Hitchin
Nigel Hitchin is a prominent British mathematician known for his influential work in differential and algebraic geometry, particularly the introduction of Higgs bundles and contributions to gauge theory and mirror symmetry.
-
C.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
D.
Richard Sibson
Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
-
E.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd933ec008190aef1442460c4cfbc |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d0dbd08190a317dfe1844840c5 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af9a41c69c8190b99bcad7098e68fe |
completed | March 10, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9aaeedcc8190901da0fe37e7801d |
completed | March 10, 2026, 4:14 a.m. |
Created at: March 6, 2026, 9:53 p.m.