Triple
T9811236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Jennifer Ashton |
E238275
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Alex Ashton
Alex Ashton is one of the children of American physician and television medical correspondent Dr. Jennifer Ashton.
|
E822654
|
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: Alex Ashton | Statement: [Dr. Jennifer Ashton, hasChild, Alex Ashton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Ashton Context triple: [Dr. Jennifer Ashton, hasChild, Alex Ashton]
-
A.
Ashton Stevens
Ashton Stevens was an influential early 20th-century American drama critic known for his incisive theater reviews and support of emerging playwrights.
-
B.
Ashton Irwin
Ashton Irwin is an Australian musician best known as the drummer and a vocalist for the pop-rock band 5 Seconds of Summer.
-
C.
Ashley Scott
Ashley Scott is an American actress and former model best known for her roles in films like "Into the Blue" and TV series such as "Birds of Prey" and "Jericho."
-
D.
Ashton Sanders
Ashton Sanders is an American actor best known for his acclaimed performance as the teenage Chiron in the Oscar-winning film "Moonlight."
-
E.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
- 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: Alex Ashton Triple: [Dr. Jennifer Ashton, hasChild, Alex Ashton]
Generated description
Alex Ashton is one of the children of American physician and television medical correspondent Dr. Jennifer Ashton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Ashton Target entity description: Alex Ashton is one of the children of American physician and television medical correspondent Dr. Jennifer Ashton.
-
A.
Ashton Stevens
Ashton Stevens was an influential early 20th-century American drama critic known for his incisive theater reviews and support of emerging playwrights.
-
B.
Ashton Irwin
Ashton Irwin is an Australian musician best known as the drummer and a vocalist for the pop-rock band 5 Seconds of Summer.
-
C.
Ashley Scott
Ashley Scott is an American actress and former model best known for her roles in films like "Into the Blue" and TV series such as "Birds of Prey" and "Jericho."
-
D.
Ashton Sanders
Ashton Sanders is an American actor best known for his acclaimed performance as the teenage Chiron in the Oscar-winning film "Moonlight."
-
E.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2214a7c8190b516acf64e2b85db |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5f768c8190987aaa7164f42444 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1ccd04b60819085a5bde42605ecf5 |
completed | April 5, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd70aa5481908b67afef279c38af |
completed | April 5, 2026, 2:48 a.m. |
Created at: March 30, 2026, 8:30 p.m.