Triple
T7081363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Ashcroft |
E164962
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ashcroft
Ashcroft is a surname most prominently associated with John Ashcroft, the former U.S. Attorney General and Missouri senator.
|
E641225
|
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: Ashcroft | Statement: [John Ashcroft, familyName, Ashcroft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashcroft Context triple: [John Ashcroft, familyName, Ashcroft]
-
A.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
B.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
C.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
D.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
-
E.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
- 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: Ashcroft Triple: [John Ashcroft, familyName, Ashcroft]
Generated description
Ashcroft is a surname most prominently associated with John Ashcroft, the former U.S. Attorney General and Missouri senator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashcroft Target entity description: Ashcroft is a surname most prominently associated with John Ashcroft, the former U.S. Attorney General and Missouri senator.
-
A.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
B.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
C.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
D.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
-
E.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f1f5748190b214856bcfc70d81 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79477a79c81909b51175a24d17142 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c798cd9e4c8190a9dc1176d60d2cf6 |
completed | March 28, 2026, 9:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c799fae8608190b0cd94d59ab589a4 |
completed | March 28, 2026, 9:06 a.m. |
Created at: March 27, 2026, 2:40 p.m.