Triple
T11531787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mireille Duval Jameson |
E273439
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Michael Jameson
Michael Jameson is the husband of Mireille Duval Jameson, known primarily in relation to her.
|
E943186
|
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 Jameson | Statement: [Mireille Duval Jameson, hasSpouse, Michael Jameson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Jameson Context triple: [Mireille Duval Jameson, hasSpouse, Michael Jameson]
-
A.
Tony James
Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
-
B.
Tony James
Tony James is a person known primarily as the husband of Amabel James.
-
C.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
D.
Michael Blakemore
Michael Blakemore is a distinguished British-Australian theatre and film director and actor, renowned for his acclaimed work on both the London and Broadway stages.
-
E.
Michael Lloyd
Michael Lloyd is an American record producer best known for his work on hit film soundtracks and numerous pop and rock recordings from the 1970s and 1980s.
- 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 Jameson Triple: [Mireille Duval Jameson, hasSpouse, Michael Jameson]
Generated description
Michael Jameson is the husband of Mireille Duval Jameson, known primarily in relation to her.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Jameson Target entity description: Michael Jameson is the husband of Mireille Duval Jameson, known primarily in relation to her.
-
A.
Tony James
Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
-
B.
Tony James
Tony James is a person known primarily as the husband of Amabel James.
-
C.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
D.
Michael Blakemore
Michael Blakemore is a distinguished British-Australian theatre and film director and actor, renowned for his acclaimed work on both the London and Broadway stages.
-
E.
Michael Lloyd
Michael Lloyd is an American record producer best known for his work on hit film soundtracks and numerous pop and rock recordings from the 1970s and 1980s.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839878948190b170e64629d6f2db |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018b2f394819084c3cfd589098c30 |
completed | April 28, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69f0319271788190a105828ae7582668 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05a44dcb88190a0bb57b0c8fef6b9 |
completed | April 28, 2026, 6:57 a.m. |
Created at: April 8, 2026, 9:37 p.m.