Triple
T3113708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SiR |
E65007
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Heavy
"Heavy" is a soulful R&B song by American singer SiR, known for its smooth production and introspective lyrics.
|
E327794
|
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: Heavy | Statement: [SiR, notableWork, Heavy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heavy Context triple: [SiR, notableWork, Heavy]
-
A.
Thrash
Thrash is the bird-themed mascot of the former NHL team the Atlanta Thrashers, known for his energetic and entertaining presence at games.
-
B.
Dry & Heavy
Dry & Heavy is a classic roots reggae album by Jamaican artist Burning Spear, known for its deep spiritual themes and heavy, meditative grooves.
-
C.
Metal
Metal is Apple’s low-level, high-performance graphics and compute API used for rendering and GPU-accelerated processing across its platforms.
-
D.
Loud
Loud is a 2010 studio album by Barbadian singer Rihanna that blends pop, dance, and R&B and features hits like "Only Girl (In the World)" and "What's My Name?".
-
E.
Heavy Weather
Heavy Weather is a comic novel by P. G. Wodehouse set at Blandings Castle, featuring Lord Emsworth, his prize pig the Empress of Blandings, and a tangle of romantic and criminal misadventures.
- 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: Heavy Triple: [SiR, notableWork, Heavy]
Generated description
"Heavy" is a soulful R&B song by American singer SiR, known for its smooth production and introspective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heavy Target entity description: "Heavy" is a soulful R&B song by American singer SiR, known for its smooth production and introspective lyrics.
-
A.
Thrash
Thrash is the bird-themed mascot of the former NHL team the Atlanta Thrashers, known for his energetic and entertaining presence at games.
-
B.
Dry & Heavy
Dry & Heavy is a classic roots reggae album by Jamaican artist Burning Spear, known for its deep spiritual themes and heavy, meditative grooves.
-
C.
Metal
Metal is Apple’s low-level, high-performance graphics and compute API used for rendering and GPU-accelerated processing across its platforms.
-
D.
Loud
Loud is a 2010 studio album by Barbadian singer Rihanna that blends pop, dance, and R&B and features hits like "Only Girl (In the World)" and "What's My Name?".
-
E.
Heavy Weather
Heavy Weather is a comic novel by P. G. Wodehouse set at Blandings Castle, featuring Lord Emsworth, his prize pig the Empress of Blandings, and a tangle of romantic and criminal misadventures.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.