Triple
T12158747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John DeNicola |
E289647
|
entity |
| Predicate | coWriterWith |
P7870
|
FINISHED |
| Object | Donald Markowitz |
E206274
|
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: Donald Markowitz | Statement: [John DeNicola, coWriterWith, Donald Markowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Markowitz Context triple: [John DeNicola, coWriterWith, Donald Markowitz]
-
A.
Donald Markowitz
chosen
Donald Markowitz is a songwriter best known for co-writing the Academy Award–winning hit "(I've Had) The Time of My Life" from the film Dirty Dancing.
-
B.
Robert Markowitz
Robert Markowitz is an American film and television director known for his work on numerous made-for-TV movies and miniseries.
-
C.
Mitch Markowitz
Mitch Markowitz is an American screenwriter best known for writing the acclaimed 1987 Robin Williams film "Good Morning, Vietnam."
-
D.
Michael Markowitz
Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
-
E.
Paul Kagan
Paul Kagan was an influential American media industry analyst and investment banker known for his pioneering research and deal-making in the cable television and communications sectors.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a837a5881908c600be0be334269 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.