Triple
T183286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U2 |
E3924
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
The Edge
The Edge is the Irish musician and guitarist best known as the lead guitarist and a founding member of the rock band U2, recognized for his distinctive echo-laden playing style.
|
E23663
|
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: The Edge | Statement: [U2, hasMember, The Edge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Edge Context triple: [U2, hasMember, The Edge]
-
A.
Edge
Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
-
B.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
C.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
-
D.
The Wall
The Wall is the towering left-field wall at Fenway Park in Boston, famously known for challenging hitters and shaping the ballpark’s unique character.
-
E.
Surfacing
Surfacing is a 1972 novel by Margaret Atwood that blends psychological mystery with feminist and environmental themes as it follows a woman’s search for her missing father in rural Quebec.
- 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: The Edge Triple: [U2, hasMember, The Edge]
Generated description
The Edge is the Irish musician and guitarist best known as the lead guitarist and a founding member of the rock band U2, recognized for his distinctive echo-laden playing style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Edge Target entity description: The Edge is the Irish musician and guitarist best known as the lead guitarist and a founding member of the rock band U2, recognized for his distinctive echo-laden playing style.
-
A.
Edge
Edge is Microsoft’s modern web browser designed to be fast, secure, and integrated with the Windows ecosystem and Microsoft services.
-
B.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
C.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
-
D.
The Wall
The Wall is the towering left-field wall at Fenway Park in Boston, famously known for challenging hitters and shaping the ballpark’s unique character.
-
E.
Surfacing
Surfacing is a 1972 novel by Margaret Atwood that blends psychological mystery with feminist and environmental themes as it follows a woman’s search for her missing father in rural Quebec.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592516748190a85ae58eec191f14 |
completed | Feb. 28, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30285b0488190aaa9634bc9168c4c |
completed | Feb. 28, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69a303db62348190a1939b9203f0ea0a |
completed | Feb. 28, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a30453546881908b46ee22696f618f |
completed | Feb. 28, 2026, 3:05 p.m. |
Created at: Feb. 28, 2026, 2:40 a.m.