Triple
T15798262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heavenly |
E383035
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
Damaged Goods
Damaged Goods is an independent British record label known for releasing punk, garage, and alternative music.
|
E1177045
|
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: Damaged Goods | Statement: [Heavenly, recordLabel, Damaged Goods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damaged Goods Context triple: [Heavenly, recordLabel, Damaged Goods]
-
A.
Damaged
"Damaged" is a 2008 uptempo R&B-pop single by American girl group Danity Kane, known for its catchy hook and chart success.
-
B.
Torn and Frayed
"Torn and Frayed" is a country-tinged rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
-
C.
Broken Vessels
"Broken Vessels" is a collection of deeply personal essays by American writer Andre Dubus, reflecting on faith, family, violence, disability, and the moral complexities of everyday life.
-
D.
Dead and Broken
"Dead and Broken" is a song by the American metal band The Faceless, known for its technical death metal style and complex, progressive composition.
-
E.
Wrecked
Wrecked is a comedic short film directed by Eric Kissack, known for its dark humor and twist-driven narrative.
- 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: Damaged Goods Triple: [Heavenly, recordLabel, Damaged Goods]
Generated description
Damaged Goods is an independent British record label known for releasing punk, garage, and alternative music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damaged Goods Target entity description: Damaged Goods is an independent British record label known for releasing punk, garage, and alternative music.
-
A.
Damaged
"Damaged" is a 2008 uptempo R&B-pop single by American girl group Danity Kane, known for its catchy hook and chart success.
-
B.
Torn and Frayed
"Torn and Frayed" is a country-tinged rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
-
C.
Broken Vessels
"Broken Vessels" is a collection of deeply personal essays by American writer Andre Dubus, reflecting on faith, family, violence, disability, and the moral complexities of everyday life.
-
D.
Dead and Broken
"Dead and Broken" is a song by the American metal band The Faceless, known for its technical death metal style and complex, progressive composition.
-
E.
Wrecked
Wrecked is a comedic short film directed by Eric Kissack, known for its dark humor and twist-driven narrative.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4def80481908f72733ce9133bc6 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b08ab48190892c700f5eb261d8 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff936cbbc8819097958ac02673a474 |
completed | May 9, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff93ed15ec8190b9361f7ad4c7e447 |
completed | May 9, 2026, 8:07 p.m. |
Created at: April 10, 2026, 4:48 a.m.