Triple
T2804185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Arlen |
E54012
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Ted Koehler |
E142740
|
NE FINISHED |
How this triple was built (2 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: Ted Koehler | Statement: [Harold Arlen, collaboratedWith, Ted Koehler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Koehler Context triple: [Harold Arlen, collaboratedWith, Ted Koehler]
-
A.
Ted Koehler
chosen
Ted Koehler was an American lyricist best known for his popular songs of the 1920s–1940s, many written in collaboration with composer Harold Arlen.
-
B.
Mark Kohr
Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
-
C.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
D.
Neil Kopp
Neil Kopp is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
-
E.
Fred Karger
Fred Karger was an American musician and vocal coach best known for his work at major Hollywood studios and his long, on-and-off marriage to actress Jane Wyman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde1409148190a06a401185a26b64 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc674217c81908177b088cc824e7b |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:59 p.m.