Triple
T16672790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolves |
E405145
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
How Many Walls
"How Many Walls" is a song by the American metalcore band Wolves at the Gate.
|
E1228594
|
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: How Many Walls | Statement: [Wolves, hasTrack, How Many Walls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Many Walls Context triple: [Wolves, hasTrack, How Many Walls]
-
A.
Four Walls
"Four Walls" is a classic country ballad by Jim Reeves, known for its smooth Nashville sound and themes of loneliness and introspection.
-
B.
These Walls
"These Walls" is a pop-rock song by American singer-songwriter Teddy Geiger, known for its emotive lyrics and melodic, radio-friendly sound.
-
C.
These Walls
"These Walls" is a critically acclaimed track by Kendrick Lamar from his album *To Pimp a Butterfly*, noted for its layered storytelling, soulful production, and exploration of themes like guilt, revenge, and systemic oppression.
-
D.
The Walls
The Walls is the nickname for the Huntsville Unit, a historic maximum-security state prison in Huntsville, Texas, known for housing Texas’s execution chamber.
-
E.
Walls
Walls is a well-known ice cream brand in Unilever’s global frozen desserts portfolio, recognized for its wide range of frozen treats sold under various local names worldwide.
- 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: How Many Walls Triple: [Wolves, hasTrack, How Many Walls]
Generated description
"How Many Walls" is a song by the American metalcore band Wolves at the Gate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: How Many Walls Target entity description: "How Many Walls" is a song by the American metalcore band Wolves at the Gate.
-
A.
Four Walls
"Four Walls" is a classic country ballad by Jim Reeves, known for its smooth Nashville sound and themes of loneliness and introspection.
-
B.
These Walls
"These Walls" is a pop-rock song by American singer-songwriter Teddy Geiger, known for its emotive lyrics and melodic, radio-friendly sound.
-
C.
These Walls
"These Walls" is a critically acclaimed track by Kendrick Lamar from his album *To Pimp a Butterfly*, noted for its layered storytelling, soulful production, and exploration of themes like guilt, revenge, and systemic oppression.
-
D.
The Walls
The Walls is the nickname for the Huntsville Unit, a historic maximum-security state prison in Huntsville, Texas, known for housing Texas’s execution chamber.
-
E.
Walls
Walls is a well-known ice cream brand in Unilever’s global frozen desserts portfolio, recognized for its wide range of frozen treats sold under various local names worldwide.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00927ed0fc8190b6f06829c7dd0437 |
completed | May 10, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0092e322d08190862ae42a28c9e5cf |
completed | May 10, 2026, 2:14 p.m. |
Created at: April 10, 2026, 5:19 a.m.