Triple
T13419376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Callahan |
E313298
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object |
Booze, Broads & Bullets
Booze, Broads & Bullets is a collection of Sin City comic stories by Frank Miller, featuring various characters from the series including Nancy Callahan.
|
E1038342
|
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: Booze, Broads & Bullets | Statement: [Nancy Callahan, appearsIn, Booze, Broads & Bullets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Booze, Broads & Bullets Context triple: [Nancy Callahan, appearsIn, Booze, Broads & Bullets]
-
A.
Blood, Sex and Booze
Blood, Sex and Booze is a punk rock song by the American band Green Day, known for its raw energy and provocative themes.
-
B.
Bedside Gun
Bedside Gun is a novelty bedside lamp designed to resemble a firearm, combining functional lighting with a playful, provocative aesthetic.
-
C.
Bullshot
Bullshot is a 1983 British comedy film that parodies 1930s adventure serials and detective stories, produced by HandMade Films.
-
D.
Sizzling Pubs
Sizzling Pubs is a UK-based chain of value-focused, family-friendly pub restaurants known for affordable grilled meals and casual dining.
-
E.
The Shooting Party
The Shooting Party is a 1985 British period drama film set in Edwardian England that explores class tensions and the fading aristocracy on the eve of World War I.
- 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: Booze, Broads & Bullets Triple: [Nancy Callahan, appearsIn, Booze, Broads & Bullets]
Generated description
Booze, Broads & Bullets is a collection of Sin City comic stories by Frank Miller, featuring various characters from the series including Nancy Callahan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Booze, Broads & Bullets Target entity description: Booze, Broads & Bullets is a collection of Sin City comic stories by Frank Miller, featuring various characters from the series including Nancy Callahan.
-
A.
Blood, Sex and Booze
Blood, Sex and Booze is a punk rock song by the American band Green Day, known for its raw energy and provocative themes.
-
B.
Bedside Gun
Bedside Gun is a novelty bedside lamp designed to resemble a firearm, combining functional lighting with a playful, provocative aesthetic.
-
C.
Bullshot
Bullshot is a 1983 British comedy film that parodies 1930s adventure serials and detective stories, produced by HandMade Films.
-
D.
Sizzling Pubs
Sizzling Pubs is a UK-based chain of value-focused, family-friendly pub restaurants known for affordable grilled meals and casual dining.
-
E.
The Shooting Party
The Shooting Party is a 1985 British period drama film set in Edwardian England that explores class tensions and the fading aristocracy on the eve of World War I.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb98e808190948013e8f24779c6 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:39 p.m.