Triple
T2436936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hardy |
E52981
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sarah Ward
Sarah Ward is a British producer and the former wife of actor Tom Hardy.
|
E339113
|
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: Sarah Ward | Statement: [Tom Hardy, spouse, Sarah Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Ward Context triple: [Tom Hardy, spouse, Sarah Ward]
-
A.
Emily Wharton
Emily Wharton is the central protagonist of Anthony Trollope’s political novel "The Prime Minister," around whom the story’s social and romantic conflicts revolve.
-
B.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
C.
Rachel Ward
Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
-
D.
Elizabeth Minshull
Elizabeth Minshull was the third wife and later-life caretaker of the English poet John Milton, whom she married in 1663.
-
E.
Louise Whitfield
Louise Whitfield was an American philanthropist best known as the wife of industrialist Andrew Carnegie and for her extensive charitable work.
- 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: Sarah Ward Triple: [Tom Hardy, spouse, Sarah Ward]
Generated description
Sarah Ward is a British producer and the former wife of actor Tom Hardy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Ward Target entity description: Sarah Ward is a British producer and the former wife of actor Tom Hardy.
-
A.
Emily Wharton
Emily Wharton is the central protagonist of Anthony Trollope’s political novel "The Prime Minister," around whom the story’s social and romantic conflicts revolve.
-
B.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
C.
Rachel Ward
Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
-
D.
Elizabeth Minshull
Elizabeth Minshull was the third wife and later-life caretaker of the English poet John Milton, whom she married in 1663.
-
E.
Louise Whitfield
Louise Whitfield was an American philanthropist best known as the wife of industrialist Andrew Carnegie and for her extensive charitable work.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276b188248190b015eec2b83bc20b |
completed | March 12, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b277e70c648190af38b7939be90e67 |
completed | March 12, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27879ff6081909f7d7f474d46ac4b |
completed | March 12, 2026, 8:25 a.m. |
Created at: March 6, 2026, 9:43 p.m.