Triple
T9678927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Champion |
E234232
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marianne Dark
Marianne Dark is a British teacher best known as the wife of Coldplay drummer Will Champion.
|
E816214
|
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: Marianne Dark | Statement: [Will Champion, spouse, Marianne Dark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Dark Context triple: [Will Champion, spouse, Marianne Dark]
-
A.
Sybil Gerard
Sybil Gerard is the idealistic and compassionate heroine of Benjamin Disraeli’s novel "Sybil, or The Two Nations," who embodies the social and moral conscience amid stark class divisions in 19th-century England.
-
B.
Elinor Mead
Elinor Mead was an American artist and intellectual known as the wife and close collaborator of novelist and critic William Dean Howells.
-
C.
Muriel Heslop
Muriel Heslop is the socially awkward, ABBA-obsessed young woman whose quest for love, acceptance, and reinvention drives the Australian film "Muriel's Wedding."
-
D.
Muriel Sutherland
Muriel Sutherland was the mother of renowned Australian operatic soprano Dame Joan Sutherland.
-
E.
Margaret Tyzack
Margaret Tyzack was an acclaimed English stage and screen actress known for her powerful classical performances and prominent roles in British television dramas.
- 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: Marianne Dark Triple: [Will Champion, spouse, Marianne Dark]
Generated description
Marianne Dark is a British teacher best known as the wife of Coldplay drummer Will Champion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marianne Dark Target entity description: Marianne Dark is a British teacher best known as the wife of Coldplay drummer Will Champion.
-
A.
Sybil Gerard
Sybil Gerard is the idealistic and compassionate heroine of Benjamin Disraeli’s novel "Sybil, or The Two Nations," who embodies the social and moral conscience amid stark class divisions in 19th-century England.
-
B.
Elinor Mead
Elinor Mead was an American artist and intellectual known as the wife and close collaborator of novelist and critic William Dean Howells.
-
C.
Muriel Heslop
Muriel Heslop is the socially awkward, ABBA-obsessed young woman whose quest for love, acceptance, and reinvention drives the Australian film "Muriel's Wedding."
-
D.
Muriel Sutherland
Muriel Sutherland was the mother of renowned Australian operatic soprano Dame Joan Sutherland.
-
E.
Margaret Tyzack
Margaret Tyzack was an acclaimed English stage and screen actress known for her powerful classical performances and prominent roles in British television dramas.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9c586c8190abc0ab1771bf6c5c |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f736b988190b963e216a805316d |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a05998988190aa6e5263fee50e7d |
completed | April 4, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0e1c3c881909a4c5a1bcea443fa |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:16 p.m.