Triple
T6846185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Neville |
E157899
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Julie Neville
Julie Neville is a British businesswoman and nutrition expert best known as the wife of former footballer and coach Phil Neville.
|
E623077
|
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: Julie Neville | Statement: [Phil Neville, spouse, Julie Neville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Neville Context triple: [Phil Neville, spouse, Julie Neville]
-
A.
Phyllida Trant
Phyllida Trant is a fellow barrister who works alongside Horace Rumpole in the same set of legal chambers in John Mortimer’s Rumpole stories.
-
B.
Gillian Redfearn
Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
-
C.
Carol Vessey
Carol Vessey is a fictional high school teacher and love interest of the title character in the television series "Ed."
-
D.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
E.
Carobeth Laird
Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
- 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: Julie Neville Triple: [Phil Neville, spouse, Julie Neville]
Generated description
Julie Neville is a British businesswoman and nutrition expert best known as the wife of former footballer and coach Phil Neville.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julie Neville Target entity description: Julie Neville is a British businesswoman and nutrition expert best known as the wife of former footballer and coach Phil Neville.
-
A.
Phyllida Trant
Phyllida Trant is a fellow barrister who works alongside Horace Rumpole in the same set of legal chambers in John Mortimer’s Rumpole stories.
-
B.
Gillian Redfearn
Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
-
C.
Carol Vessey
Carol Vessey is a fictional high school teacher and love interest of the title character in the television series "Ed."
-
D.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
E.
Carobeth Laird
Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cbe4488190b41ddf953f12f55f |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fc42e688190baa8413883e5506c |
completed | March 28, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c7304c0bac8190a9ece4e50ab49586 |
completed | March 28, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7310fa9bc8190bfb0a43890dc5e96 |
completed | March 28, 2026, 1:38 a.m. |
Created at: March 27, 2026, 2:20 p.m.