Triple
T12170480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Roth |
E289947
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
No Tomorrow
"No Tomorrow" is a documentary film directed by Academy Award–winning filmmaker Vanessa Roth that explores the emotional and legal complexities surrounding a death penalty case.
|
E964421
|
NE FINISHED |
How this triple was built (4 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: No Tomorrow | Statement: [Vanessa Roth, notableWork, No Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Tomorrow Context triple: [Vanessa Roth, notableWork, No Tomorrow]
-
A.
No Tomorrow
"No Tomorrow" is a pop-punk song by the American rock band Busted, released as a single from their third studio album "Night Driver."
-
B.
No Tomorrow
"No Tomorrow" is a song featured on the album B7 by American singer and actress Brandy.
-
C.
No Tomorrow
"No Tomorrow" is a title shared by various works in film, television, and music, most notably a romantic comedy TV series and several songs.
-
D.
Today Not Tomorrow
Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
-
E.
Dead Tomorrow
Dead Tomorrow is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a harrowing case involving organ trafficking.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: No Tomorrow Triple: [Vanessa Roth, notableWork, No Tomorrow]
Generated description
"No Tomorrow" is a documentary film directed by Academy Award–winning filmmaker Vanessa Roth that explores the emotional and legal complexities surrounding a death penalty case.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: No Tomorrow Target entity description: "No Tomorrow" is a documentary film directed by Academy Award–winning filmmaker Vanessa Roth that explores the emotional and legal complexities surrounding a death penalty case.
-
A.
No Tomorrow
"No Tomorrow" is a pop-punk song by the American rock band Busted, released as a single from their third studio album "Night Driver."
-
B.
No Tomorrow
"No Tomorrow" is a song featured on the album B7 by American singer and actress Brandy.
-
C.
No Tomorrow
"No Tomorrow" is a title shared by various works in film, television, and music, most notably a romantic comedy TV series and several songs.
-
D.
Today Not Tomorrow
Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
-
E.
Dead Tomorrow
Dead Tomorrow is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a harrowing case involving organ trafficking.
- F. None of above. chosen
Provenance (5 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a45568819090662cd3547c9253 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5ff826ea08190a6780351e4b927ac |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60185ce8c8190abe3b1f633aac55d |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.