Triple
T12105050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Burke |
E288280
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
What’s New?
"What’s New?" is a popular 1939 pop standard song with music by Bob Haggart and lyrics by Johnny Burke that has since become a widely recorded jazz and vocal standard.
|
E964993
|
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: What’s New? | Statement: [Johnny Burke, notableWork, What’s New?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What’s New? Context triple: [Johnny Burke, notableWork, What’s New?]
-
A.
What’s New
"What’s New" is a 1983 album by Linda Ronstadt that marked her acclaimed foray into traditional pop standards and the Great American Songbook.
-
B.
What’s new
"What’s new" is Terence Tao’s influential mathematics blog, where he shares expository articles, research insights, and commentary on a wide range of mathematical topics.
-
C.
NEW
NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
-
D.
NEW
NEW is the vehicle registration code for the German town of Neustadt an der Waldnaab in Bavaria.
-
E.
Newness
Newness is a 2017 romantic drama film directed by Drake Doremus that explores the complexities of modern app-based relationships in Los Angeles.
- 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: What’s New? Triple: [Johnny Burke, notableWork, What’s New?]
Generated description
"What’s New?" is a popular 1939 pop standard song with music by Bob Haggart and lyrics by Johnny Burke that has since become a widely recorded jazz and vocal standard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: What’s New? Target entity description: "What’s New?" is a popular 1939 pop standard song with music by Bob Haggart and lyrics by Johnny Burke that has since become a widely recorded jazz and vocal standard.
-
A.
What’s New
"What’s New" is a 1983 album by Linda Ronstadt that marked her acclaimed foray into traditional pop standards and the Great American Songbook.
-
B.
What’s new
"What’s new" is Terence Tao’s influential mathematics blog, where he shares expository articles, research insights, and commentary on a wide range of mathematical topics.
-
C.
NEW
NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
-
D.
NEW
NEW is the vehicle registration code for the German town of Neustadt an der Waldnaab in Bavaria.
-
E.
Newness
Newness is a 2017 romantic drama film directed by Drake Doremus that explores the complexities of modern app-based relationships in Los Angeles.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91561eaec819096ba00682d81f41a |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f677039481908f14fa12b9b86910 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b6769481909d0308c8f77b2ef3 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.