Triple
T2666907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Van Heusen |
E55656
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Johnny Burke
Johnny Burke was an American lyricist best known for writing popular standards for film and popular music, often in partnership with composer Jimmy Van Heusen.
|
E288280
|
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: Johnny Burke | Statement: [Jimmy Van Heusen, collaboratedWith, Johnny Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Burke Context triple: [Jimmy Van Heusen, collaboratedWith, Johnny Burke]
-
A.
Johnny Marks
Johnny Marks was an American songwriter best known for composing classic Christmas songs, including "Rudolph the Red-Nosed Reindeer."
-
B.
Gary Crosby
Gary Crosby was an American singer and actor, known both for his work in film, television, and music and for being the son of entertainer Bing Crosby.
-
C.
Dennis Crosby
Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
-
D.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
E.
Floyd Crosby
Floyd Crosby was an Academy Award–winning American cinematographer known for his work on numerous classic films, including influential low-budget horror and science fiction movies.
- 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: Johnny Burke Triple: [Jimmy Van Heusen, collaboratedWith, Johnny Burke]
Generated description
Johnny Burke was an American lyricist best known for writing popular standards for film and popular music, often in partnership with composer Jimmy Van Heusen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johnny Burke Target entity description: Johnny Burke was an American lyricist best known for writing popular standards for film and popular music, often in partnership with composer Jimmy Van Heusen.
-
A.
Johnny Marks
Johnny Marks was an American songwriter best known for composing classic Christmas songs, including "Rudolph the Red-Nosed Reindeer."
-
B.
Gary Crosby
Gary Crosby was an American singer and actor, known both for his work in film, television, and music and for being the son of entertainer Bing Crosby.
-
C.
Dennis Crosby
Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
-
D.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
E.
Floyd Crosby
Floyd Crosby was an Academy Award–winning American cinematographer known for his work on numerous classic films, including influential low-budget horror and science fiction movies.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd97040e48190b0a87489f108810e |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa05b008881908049751b73e800d0 |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa21322248190bd472fc7578840fe |
completed | March 10, 2026, 4:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa286c218819084a525556cb7b3e3 |
completed | March 10, 2026, 4:48 a.m. |
Created at: March 6, 2026, 9:54 p.m.