Triple
T8534198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Johnson |
E202033
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ivo Dawnay
Ivo Dawnay is a British public relations and communications professional, known for his work in politics and media circles.
|
E741940
|
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: Ivo Dawnay | Statement: [Rachel Johnson, spouse, Ivo Dawnay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivo Dawnay Context triple: [Rachel Johnson, spouse, Ivo Dawnay]
-
A.
Ivor Richards
Ivor Richards is an individual notable enough to be recognized as a significant bearer of the surname Richards.
-
B.
Giles Wilson
Giles Wilson is one of the sons of former British Prime Minister Harold Wilson.
-
C.
Ivor Emmanuel
Ivor Emmanuel was a Welsh singer and actor best known for his powerful baritone voice and his role leading the song "Men of Harlech" in the film Zulu.
-
D.
Ivor Cutler
Ivor Cutler was a Scottish poet, songwriter, and eccentric performer known for his surreal, deadpan humor and distinctive harmonium-accompanied spoken-word pieces.
-
E.
Ivor Claire
Ivor Claire is a central, morally complex army officer in Evelyn Waugh’s *Sword of Honour* trilogy, whose actions and choices embody the themes of honor, duty, and betrayal in wartime.
- 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: Ivo Dawnay Triple: [Rachel Johnson, spouse, Ivo Dawnay]
Generated description
Ivo Dawnay is a British public relations and communications professional, known for his work in politics and media circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ivo Dawnay Target entity description: Ivo Dawnay is a British public relations and communications professional, known for his work in politics and media circles.
-
A.
Ivor Richards
Ivor Richards is an individual notable enough to be recognized as a significant bearer of the surname Richards.
-
B.
Giles Wilson
Giles Wilson is one of the sons of former British Prime Minister Harold Wilson.
-
C.
Ivor Emmanuel
Ivor Emmanuel was a Welsh singer and actor best known for his powerful baritone voice and his role leading the song "Men of Harlech" in the film Zulu.
-
D.
Ivor Cutler
Ivor Cutler was a Scottish poet, songwriter, and eccentric performer known for his surreal, deadpan humor and distinctive harmonium-accompanied spoken-word pieces.
-
E.
Ivor Claire
Ivor Claire is a central, morally complex army officer in Evelyn Waugh’s *Sword of Honour* trilogy, whose actions and choices embody the themes of honor, duty, and betrayal in wartime.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a0ccd4819097b41d0dfb1c5018 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d7aa3a881909bfdd3536dbc4ec7 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ee1bae4819099ef302138599b34 |
completed | April 2, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fb93fd88190bc53a925473f9b71 |
completed | April 2, 2026, 1:31 p.m. |
Created at: March 30, 2026, 6:17 p.m.