Triple
T17186032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Name |
E417110
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Weight of Water
"Weight of Water" is a track from the album *Secret Name* by the American indie rock band Low, known for their minimalist, slowcore sound.
|
E1256378
|
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: Weight of Water | Statement: [Secret Name, hasTrack, Weight of Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weight of Water Context triple: [Secret Name, hasTrack, Weight of Water]
-
A.
H2O
H2O is a popular track by American rapper Ski Mask the Slump God, known for its rapid-fire delivery, playful wordplay, and energetic production.
-
B.
H2O
H2O is a 1982 pop-rock album by American duo Daryl Hall & John Oates, featuring hits like "Maneater" that helped cement their commercial peak in the early 1980s.
-
C.
H2O
H2O is an American punk rock band known for its melodic hardcore sound and energetic live performances.
-
D.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
-
E.
King Water
King Water is a small river in Cumbria, England, that serves as one of the tributaries feeding into the River Eden.
- 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: Weight of Water Triple: [Secret Name, hasTrack, Weight of Water]
Generated description
"Weight of Water" is a track from the album *Secret Name* by the American indie rock band Low, known for their minimalist, slowcore sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weight of Water Target entity description: "Weight of Water" is a track from the album *Secret Name* by the American indie rock band Low, known for their minimalist, slowcore sound.
-
A.
H2O
H2O is a popular track by American rapper Ski Mask the Slump God, known for its rapid-fire delivery, playful wordplay, and energetic production.
-
B.
H2O
H2O is an American punk rock band known for its melodic hardcore sound and energetic live performances.
-
C.
H2O
H2O is a 1982 pop-rock album by American duo Daryl Hall & John Oates, featuring hits like "Maneater" that helped cement their commercial peak in the early 1980s.
-
D.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
-
E.
King Water
King Water is a small river in Cumbria, England, that serves as one of the tributaries feeding into the River Eden.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016184e0c0819099320b32bc471cad |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162692420819097b99a71ec470861 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.