Triple
T23045201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creepshow 3 |
E573857
|
entity |
| Predicate | hasStorySegment |
P95980
|
FINISHED |
| Object |
Call Girl
"Call Girl" is a horror anthology segment from the film Creepshow 3 that follows a murderous escort who encounters a client far more dangerous than she is.
|
E1567739
|
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: Call Girl | Statement: [Creepshow 3, hasStorySegment, Call Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Call Girl Context triple: [Creepshow 3, hasStorySegment, Call Girl]
-
A.
Show Girl
Show Girl is a 1929 Broadway musical comedy best known for featuring actress and singer Vivienne Segal in a leading role.
-
B.
Secret Diary of a Call Girl
Secret Diary of a Call Girl is a British television drama series following the double life of a high-end London escort, based on the anonymous blog and books by Belle de Jour.
-
C.
Gigolo
"Gigolo" is a poem by Sylvia Plath, included in her collection *Winter Trees*, that explores themes of sexuality, performance, and emotional detachment.
-
D.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
E.
Good Girl
Good Girl is a film featuring actress Vanessa Marquez in a significant role.
- 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: Call Girl Triple: [Creepshow 3, hasStorySegment, Call Girl]
Generated description
"Call Girl" is a horror anthology segment from the film Creepshow 3 that follows a murderous escort who encounters a client far more dangerous than she is.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Call Girl Target entity description: "Call Girl" is a horror anthology segment from the film Creepshow 3 that follows a murderous escort who encounters a client far more dangerous than she is.
-
A.
Show Girl
Show Girl is a 1929 Broadway musical comedy best known for featuring actress and singer Vivienne Segal in a leading role.
-
B.
Secret Diary of a Call Girl
Secret Diary of a Call Girl is a British television drama series following the double life of a high-end London escort, based on the anonymous blog and books by Belle de Jour.
-
C.
Gigolo
"Gigolo" is a poem by Sylvia Plath, included in her collection *Winter Trees*, that explores themes of sexuality, performance, and emotional detachment.
-
D.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
E.
Good Girl
Good Girl is a film featuring actress Vanessa Marquez in a significant role.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1851811e08190a5af6a112687327e |
completed | April 29, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ada60608190990d6ab5b6366c35 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0bc891e88190879f2609a178ca70 |
completed | May 19, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0c465a58819098012ea25933b890 |
completed | May 19, 2026, 7:07 a.m. |
Created at: April 17, 2026, 3:54 p.m.