Triple
T17957130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helena Carter |
E448980
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Time to Kill |
—
|
NE NERFINISHED |
How this triple was built (3 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: Time to Kill | Statement: [Helena Carter, notableWork, Time to Kill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Time to Kill Context triple: [Helena Carter, notableWork, Time to Kill]
-
A.
Killing Times
The Killing Times were a period of brutal persecution and summary executions of Scottish Covenanters in the late 17th century under the Stuart monarchy.
-
B.
Shoot to Kill
Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
-
C.
Generation Kill
Generation Kill is a nonfiction book by Evan Wright and an HBO miniseries adaptation that chronicle the experiences of a U.S. Marine reconnaissance battalion during the 2003 invasion of Iraq.
-
D.
The Killing Floor
The Killing Floor is a 2007 psychological thriller film centered on a man who discovers disturbing secrets in his new apartment, featuring a score composed by Michael Wandmacher.
-
E.
The Killing Floor
The Killing Floor is a 1984 American television drama film about African American stockyard workers in 1910s Chicago and their struggle to unionize amid racial tensions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Time to Kill Target entity description: Time to Kill is a 1942 American crime film noir in which Helena Carter appears, centered on a detective unraveling a complex murder case.
-
A.
Killing Times
The Killing Times were a period of brutal persecution and summary executions of Scottish Covenanters in the late 17th century under the Stuart monarchy.
-
B.
Shoot to Kill
Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
-
C.
Generation Kill
Generation Kill is a nonfiction book by Evan Wright and an HBO miniseries adaptation that chronicle the experiences of a U.S. Marine reconnaissance battalion during the 2003 invasion of Iraq.
-
D.
The Killing Floor
The Killing Floor is a 2007 psychological thriller film centered on a man who discovers disturbing secrets in his new apartment, featuring a score composed by Michael Wandmacher.
-
E.
The Killing Floor
The Killing Floor is a 1984 American television drama film about African American stockyard workers in 1910s Chicago and their struggle to unionize amid racial tensions.
- F. None of above. chosen
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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afb0afe08190964e771ec632fa1e |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.