Triple
T7419335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss E... So Addictive |
E171204
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Dog in Heat
"Dog in Heat" is an erotic film segment or scene featured within the adult movie "Miss E... So Addictive."
|
E663062
|
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: Dog in Heat | Statement: [Miss E... So Addictive, hasPart, Dog in Heat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dog in Heat Context triple: [Miss E... So Addictive, hasPart, Dog in Heat]
-
A.
I Wanna Be Your Dog
"I Wanna Be Your Dog" is a seminal 1969 proto-punk song by The Stooges, renowned for its raw minimalism, distorted guitar riff, and influential role in the development of punk rock.
-
B.
Doin' It
"Doin' It" is a mid-1990s hip hop single by LL Cool J known for its smooth, sensual vibe and catchy chorus.
-
C.
Walk These Dogs
"Walk These Dogs" is a track from the album "Year of the Dog... Again" by rapper DMX.
-
D.
White Dog
White Dog is a crime novel in the Jack Irish series by Australian author Peter Temple, featuring the Melbourne lawyer and debt-collector embroiled in a complex investigation.
-
E.
White Dog
White Dog is a 1982 American drama-horror film directed by Samuel Fuller that explores racism through the story of a dog trained to attack Black people.
- 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: Dog in Heat Triple: [Miss E... So Addictive, hasPart, Dog in Heat]
Generated description
"Dog in Heat" is an erotic film segment or scene featured within the adult movie "Miss E... So Addictive."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dog in Heat Target entity description: "Dog in Heat" is an erotic film segment or scene featured within the adult movie "Miss E... So Addictive."
-
A.
I Wanna Be Your Dog
"I Wanna Be Your Dog" is a seminal 1969 proto-punk song by The Stooges, renowned for its raw minimalism, distorted guitar riff, and influential role in the development of punk rock.
-
B.
Doin' It
"Doin' It" is a mid-1990s hip hop single by LL Cool J known for its smooth, sensual vibe and catchy chorus.
-
C.
Walk These Dogs
"Walk These Dogs" is a track from the album "Year of the Dog... Again" by rapper DMX.
-
D.
White Dog
White Dog is a crime novel in the Jack Irish series by Australian author Peter Temple, featuring the Melbourne lawyer and debt-collector embroiled in a complex investigation.
-
E.
White Dog
White Dog is a 1982 American drama-horror film directed by Samuel Fuller that explores racism through the story of a dog trained to attack Black people.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef30ee88190a484f4b735913676 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81f8590348190ac632731b9bb9a52 |
completed | March 28, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82036e43481908a4be75ab4e1409c |
completed | March 28, 2026, 6:38 p.m. |
Created at: March 27, 2026, 3:11 p.m.