Triple
T13947296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camouflage |
E335420
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | David Wolinski |
E1070587
|
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: David Wolinski | Statement: [Camouflage, hasContributor, David Wolinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Wolinski Context triple: [Camouflage, hasContributor, David Wolinski]
-
A.
David Wolinski
chosen
David Wolinski is an American keyboardist, songwriter, and producer best known for his work with the funk band Rufus and collaborations with Chaka Khan.
-
B.
Marc Rosenthal
Marc Rosenthal is an American illustrator and cartoonist known for his humorous, retro-style artwork in children’s books and magazines.
-
C.
Lew Lipton
Lew Lipton was an American screenwriter active during the early 20th century, known for his work in Hollywood silent and early sound films.
-
D.
Jess Rosenthal
Jess Rosenthal is a television producer best known for his executive production work on the hit mystery-comedy series "Only Murders in the Building."
-
E.
Kurt Eichenwald
Kurt Eichenwald is an American journalist and author known for his investigative reporting and nonfiction books on corporate crime and financial scandals.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac89ebd48190ab448f74daf82a96 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:17 p.m.