Triple
T14798986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beneath the Skin |
E347854
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hunger
Hunger is a Norwegian gothic metal band known for its dark, atmospheric sound and emotionally intense compositions.
|
E1120673
|
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: Hunger | Statement: [Beneath the Skin, hasPart, Hunger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunger Context triple: [Beneath the Skin, hasPart, Hunger]
-
A.
Hunger
"Hunger" is a short story collection by American author Lan Samantha Chang that explores themes of family, immigration, and cultural identity.
-
B.
Hunger
Hunger is a seminal 1890 novel by Norwegian author Knut Hamsun that follows a starving writer’s psychological descent and is considered an early landmark of modernist literature.
-
C.
Hunger
Hunger is a 2008 historical drama film directed by Steve McQueen that portrays the 1981 Irish hunger strike led by Bobby Sands in Northern Ireland’s Maze Prison.
-
D.
Hunger
"Hunger" is a 2018 song by English indie rock band Florence and the Machine that explores themes of longing, vulnerability, and self-destructive desire.
-
E.
Hunger
"Hunger" is a hip-hop track by rapper Hodgy Beats that showcases his introspective lyrics and distinctive, off-kilter style.
- 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: Hunger Triple: [Beneath the Skin, hasPart, Hunger]
Generated description
Hunger is a Norwegian gothic metal band known for its dark, atmospheric sound and emotionally intense compositions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hunger Target entity description: Hunger is a Norwegian gothic metal band known for its dark, atmospheric sound and emotionally intense compositions.
-
A.
Hunger
"Hunger" is a 2018 song by English indie rock band Florence and the Machine that explores themes of longing, vulnerability, and self-destructive desire.
-
B.
Hunger
"Hunger" is a hip-hop track by rapper Hodgy Beats that showcases his introspective lyrics and distinctive, off-kilter style.
-
C.
Hunger
Hunger is a seminal 1890 novel by Norwegian author Knut Hamsun that follows a starving writer’s psychological descent and is considered an early landmark of modernist literature.
-
D.
Hunger
Hunger is a 2014 Nigerian drama film directed by Seyi Babatope that explores themes of ambition, desperation, and moral compromise in contemporary Lagos.
-
E.
Hunger
Hunger is a 2008 historical drama film directed by Steve McQueen that portrays the 1981 Irish hunger strike led by Bobby Sands in Northern Ireland’s Maze Prison.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd6131f08190885f1d27b4bfac7a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c2cd848190bb0d8e4b5f7a489c |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe264b234881909903ebfc1039ec72 |
completed | May 8, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe26ca706881908fe0da780bd9f691 |
completed | May 8, 2026, 6:09 p.m. |
Created at: April 10, 2026, 1:31 a.m.