Triple
T21211173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Reddick |
E522722
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Good Samaritan |
—
|
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: Good Samaritan | Statement: [Jeffrey Reddick, wrote, Good Samaritan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Samaritan Context triple: [Jeffrey Reddick, wrote, Good Samaritan]
-
A.
Good Samaritan
chosen
Good Samaritan is a horror film written by Jeffrey Reddick that explores the deadly consequences of failing to help someone in need.
-
B.
Good Samaritan
The Good Samaritan is a biblical figure from one of Jesus’s parables who exemplifies compassion by aiding a wounded stranger whom others have ignored.
-
C.
The Unlikely Good Samaritan
The Unlikely Good Samaritan is a film produced by Academy Award–winning producer Gerald R. Molen that explores themes of compassion, moral courage, and unexpected heroism.
-
D.
Bad Samaritan
Bad Samaritan is a 2018 American thriller film about a valet who discovers a woman being held captive in a wealthy customer's home, leading to a dangerous cat-and-mouse confrontation.
-
E.
Good Samaritan laws
Good Samaritan laws are legal provisions that protect individuals from liability when they voluntarily provide reasonable assistance to those who are injured or in danger.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346eb20c8190aeb3c0cc0a24aaf9 |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:37 p.m.