Triple
T7714663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Tower (2017 film) |
E174850
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jeff Pinkner |
E315740
|
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: Jeff Pinkner | Statement: [The Dark Tower (2017 film), screenwriter, Jeff Pinkner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Pinkner Context triple: [The Dark Tower (2017 film), screenwriter, Jeff Pinkner]
-
A.
Jeff Pinkner
chosen
Jeff Pinkner is an American television writer and producer known for his work on series such as "Fringe," "Alias," and "Lost."
-
B.
Scott Pinsker
Scott Pinsker is an American author, filmmaker, and media commentator known for his work on politics, branding, and culture.
-
C.
Mark Pinsker
Mark Pinsker is a mathematician best known for his contributions to information theory, particularly the development of Pinsker's inequality.
-
D.
Ken Stovitz
Ken Stovitz is an American entertainment executive and film producer best known for co-founding Overbrook Entertainment alongside Will Smith and others.
-
E.
Tom Stern
Tom Stern is an American cinematographer best known for his frequent collaborations with director Clint Eastwood on numerous acclaimed films.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acd5e32c8190869834b21aeae8a7 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.