Triple
T19456204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoboCop (2014 film) |
E486738
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Joshua Zetumer |
—
|
NE NERFINISHED |
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: Joshua Zetumer | Statement: [RoboCop (2014 film), screenwriter, Joshua Zetumer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshua Zetumer Context triple: [RoboCop (2014 film), screenwriter, Joshua Zetumer]
-
A.
Joshua Boger
Joshua Boger is an American chemist and entrepreneur best known as the founder and longtime leader of the biotechnology company Vertex Pharmaceuticals, a pioneer in small-molecule drug discovery.
-
B.
Joshua Cordes
chosen
Joshua Cordes is a screenwriter best known for co-writing the science fiction film "Skyline."
-
C.
Joshua Caron
Joshua Caron is a private individual known primarily for being the sibling of Jennifer Hall.
-
D.
Jared Rushton
Jared Rushton is an American former child actor best known for his roles in 1980s films such as "Big" and "Honey, I Shrunk the Kids."
-
E.
Zachary Seman
Zachary Seman is a songwriter and music producer known for his work on contemporary pop and R&B tracks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c4088881908f23f25a82a513f6 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.