Triple
T6711310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Mitford |
E153147
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Michael Mosley
Michael Mosley is a British aristocrat and writer, known as the son of socialite Diana Mitford and politician Sir Oswald Mosley.
|
E613071
|
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: Michael Mosley | Statement: [Diana Mitford, child, Michael Mosley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Mosley Context triple: [Diana Mitford, child, Michael Mosley]
-
A.
Michael Mosley
Michael Mosley is an American actor known for his roles in television series such as "Seven Seconds," "Ozark," and "Scrubs."
-
B.
Adam Hart-Davis
Adam Hart-Davis is a British scientist, author, photographer, and television presenter best known for popular science and history programs such as "Local Heroes" and "What the Romans Did for Us."
-
C.
Michael Tadross
Michael Tadross is an American film producer known for working on major Hollywood productions, including big-budget action and fantasy films.
-
D.
Christopher Holmes
Christopher Holmes is an editor known for his work on the film "Five Easy Pieces."
-
E.
Stephen Bayley
Stephen Bayley is a British design critic, writer, and curator renowned for his influential role in promoting modern design and for co-founding London’s Design Museum.
- 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: Michael Mosley Triple: [Diana Mitford, child, Michael Mosley]
Generated description
Michael Mosley is a British aristocrat and writer, known as the son of socialite Diana Mitford and politician Sir Oswald Mosley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Mosley Target entity description: Michael Mosley is a British aristocrat and writer, known as the son of socialite Diana Mitford and politician Sir Oswald Mosley.
-
A.
Michael Mosley
Michael Mosley is an American actor known for his roles in television series such as "Seven Seconds," "Ozark," and "Scrubs."
-
B.
Adam Hart-Davis
Adam Hart-Davis is a British scientist, author, photographer, and television presenter best known for popular science and history programs such as "Local Heroes" and "What the Romans Did for Us."
-
C.
Michael Tadross
Michael Tadross is an American film producer known for working on major Hollywood productions, including big-budget action and fantasy films.
-
D.
Christopher Holmes
Christopher Holmes is an editor known for his work on the film "Five Easy Pieces."
-
E.
Stephen Bayley
Stephen Bayley is a British design critic, writer, and curator renowned for his influential role in promoting modern design and for co-founding London’s Design Museum.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d108acc08190b38b43161d8912b9 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700924fdc8190990187fbc1b3ab20 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c70386196c81909d46894f783ef87a |
completed | March 27, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7045cda0481908982c7c7e8dc11e5 |
completed | March 27, 2026, 10:27 p.m. |
Created at: March 27, 2026, 2:06 p.m.