Triple
T1737302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 60 Minutes |
E37947
|
entity |
| Predicate | notableCorrespondent |
P26052
|
FINISHED |
| Object |
Ed Bradley
Ed Bradley was an acclaimed American broadcast journalist best known as a pioneering and long-serving correspondent on the CBS news magazine program "60 Minutes."
|
E207103
|
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: Ed Bradley | Statement: [60 Minutes, notableCorrespondent, Ed Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Bradley Context triple: [60 Minutes, notableCorrespondent, Ed Bradley]
-
A.
Warren Spady
Warren Spady is a designer best known for creating the trophy awarded in the historic Oregon–Oregon State college football rivalry.
-
B.
Ben Bray
Ben Bray is a film producer known for his work on action-packed crime movies such as "Smokin' Aces."
-
C.
Bradley
Bradley is a locality in England historically associated with the life and death of the pioneering ironmaster John Wilkinson.
-
D.
Bradley
Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
-
E.
Bradley
Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
- 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: Ed Bradley Triple: [60 Minutes, notableCorrespondent, Ed Bradley]
Generated description
Ed Bradley was an acclaimed American broadcast journalist best known as a pioneering and long-serving correspondent on the CBS news magazine program "60 Minutes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ed Bradley Target entity description: Ed Bradley was an acclaimed American broadcast journalist best known as a pioneering and long-serving correspondent on the CBS news magazine program "60 Minutes."
-
A.
Warren Spady
Warren Spady is a designer best known for creating the trophy awarded in the historic Oregon–Oregon State college football rivalry.
-
B.
Ben Bray
Ben Bray is a film producer known for his work on action-packed crime movies such as "Smokin' Aces."
-
C.
Bradley
Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
-
D.
Bradley
Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
-
E.
Bradley
Bradley is a locality in England historically associated with the life and death of the pioneering ironmaster John Wilkinson.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a47cd481909c211e4da7f5dfe9 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1b354b08190a776126555880de5 |
completed | March 8, 2026, 7:44 p.m. |
| NEDg | Description generation | batch_69add246f1a88190b3e14d1e45f5d433 |
completed | March 8, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add2afe284819083723ccaa2219222 |
completed | March 8, 2026, 7:49 p.m. |
Created at: March 4, 2026, 7:30 p.m.