Triple
T14378896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macbeth (2015 film) |
E356547
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jacob Koskoff |
E356547
|
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: Jacob Koskoff | Statement: [Macbeth (2015 film), screenwriter, Jacob Koskoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Koskoff Context triple: [Macbeth (2015 film), screenwriter, Jacob Koskoff]
-
A.
Jacob Koskoff
chosen
Jacob Koskoff is an American screenwriter best known for co-writing the 2015 film adaptation of Shakespeare’s "Macbeth."
-
B.
Jacob Kasher
Jacob Kasher is an American songwriter and producer known for crafting pop hits for major artists such as Maroon 5, One Direction members, and Charlie Puth.
-
C.
Jeremy Gelbwaks
Jeremy Gelbwaks is an American former child actor best known for originating the role of Chris Partridge on the early 1970s television sitcom "The Partridge Family."
-
D.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
E.
Jeremy Kushnier
Jeremy Kushnier is a Canadian actor and singer best known for his work in musical theatre, including roles in productions like "Rent" and "Footloose."
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648135188190af86b1b2be2fe0e0 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:16 a.m.