Triple
T13398492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad Nagel |
E319764
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michael Coulson
Michael Coulson was the husband of American actor and early film star Conrad Nagel.
|
E1048122
|
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 Coulson | Statement: [Conrad Nagel, spouse, Michael Coulson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Coulson Context triple: [Conrad Nagel, spouse, Michael Coulson]
-
A.
Christian Coulson
Christian Coulson is an English actor best known for playing the young Tom Riddle in the film "Harry Potter and the Chamber of Secrets."
-
B.
David Coulson
David Coulson is a film editor known for his work on feature films such as the drama "North Country."
-
C.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
D.
Michael Colleary
Michael Colleary is an American screenwriter and producer best known for co-writing the action film "Face/Off" and working on various Hollywood genre movies and television projects.
-
E.
Ian Dunn
Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
- 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 Coulson Triple: [Conrad Nagel, spouse, Michael Coulson]
Generated description
Michael Coulson was the husband of American actor and early film star Conrad Nagel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Coulson Target entity description: Michael Coulson was the husband of American actor and early film star Conrad Nagel.
-
A.
Christian Coulson
Christian Coulson is an English actor best known for playing the young Tom Riddle in the film "Harry Potter and the Chamber of Secrets."
-
B.
David Coulson
David Coulson is a film editor known for his work on feature films such as the drama "North Country."
-
C.
Michael Boughen
Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
-
D.
Michael Colleary
Michael Colleary is an American screenwriter and producer best known for co-writing the action film "Face/Off" and working on various Hollywood genre movies and television projects.
-
E.
Ian Dunn
Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d9e7348190844e11dd6cbd13b0 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9ec6848190b8e986d849756050 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f7763fc23c819098d46ab0906b8764 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:34 p.m.