Triple
T20740706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cold Light of Day |
E510430
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Scott Wiper |
—
|
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: Scott Wiper | Statement: [The Cold Light of Day, storyBy, Scott Wiper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Wiper Context triple: [The Cold Light of Day, storyBy, Scott Wiper]
-
A.
Scott Wiper
chosen
Scott Wiper is an American filmmaker and actor best known for writing and directing action and thriller films such as "The Condemned" and "A Better Way to Die."
-
B.
John Wirth
John Wirth is a television writer and producer best known for creating and showrunning the martial arts crime drama series "Wu Assassins."
-
C.
Gil Westrum
Gil Westrum is a central character in the 1962 Western film "Ride the High Country," portrayed as an aging former lawman whose moral ambiguity contrasts with his partner’s steadfast integrity.
-
D.
Marc Ewing
Marc Ewing is an American software engineer and entrepreneur best known as a co-founder of the open-source software company Red Hat.
-
E.
Scott Speer
Scott Speer is an American film director, producer, and author best known for directing music videos and feature films such as "Step Up Revolution."
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.