Triple
T16297203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Julius Cooper |
E395678
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jason Cooper
Jason Cooper is a child of British writer and historian John Julius Cooper, better known as Lord Norwich.
|
E1205948
|
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: Jason Cooper | Statement: [John Julius Cooper, hasChild, Jason Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Cooper Context triple: [John Julius Cooper, hasChild, Jason Cooper]
-
A.
Matthew Cooper
Matthew Cooper is a former New Zealand rugby union player best known as a prolific goal-kicking fullback/centre who represented the All Blacks in the early 1990s.
-
B.
Kyle Cooper
Kyle Cooper is a composer recognized for his award-winning work in video game music, including earning top honors at The Game Awards.
-
C.
Josh Cooley
Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
-
D.
Trevor Cooper
Trevor Cooper is a British character actor known for his work in film, television, and theatre, often appearing in offbeat or darkly comic roles.
-
E.
Jason Crouse
Jason Crouse is a fictional defense investigator and love interest of Alicia Florrick on the legal drama television series "The Good Wife."
- 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: Jason Cooper Triple: [John Julius Cooper, hasChild, Jason Cooper]
Generated description
Jason Cooper is a child of British writer and historian John Julius Cooper, better known as Lord Norwich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason Cooper Target entity description: Jason Cooper is a child of British writer and historian John Julius Cooper, better known as Lord Norwich.
-
A.
Matthew Cooper
Matthew Cooper is a former New Zealand rugby union player best known as a prolific goal-kicking fullback/centre who represented the All Blacks in the early 1990s.
-
B.
Kyle Cooper
Kyle Cooper is a composer recognized for his award-winning work in video game music, including earning top honors at The Game Awards.
-
C.
Josh Cooley
Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
-
D.
Trevor Cooper
Trevor Cooper is a British character actor known for his work in film, television, and theatre, often appearing in offbeat or darkly comic roles.
-
E.
Jason Crouse
Jason Crouse is a fictional defense investigator and love interest of Alicia Florrick on the legal drama television series "The Good Wife."
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2f486c8190b73c15f59335cde2 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9b42248190a3c8c2647a42aeb9 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0021e42c6481909c7cb0c2ed63ab27 |
completed | May 10, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00223de3888190a0d5d81af1fa4de2 |
completed | May 10, 2026, 6:14 a.m. |
Created at: April 10, 2026, 5:06 a.m.