Triple
T16651696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Mountain Sound Studios |
E404618
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object |
Poison
Poison is an American glam metal band that rose to fame in the 1980s with hit songs like "Every Rose Has Its Thorn" and "Nothin' but a Good Time."
|
E1213725
|
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: Poison | Statement: [Little Mountain Sound Studios, hasClient, Poison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poison Context triple: [Little Mountain Sound Studios, hasClient, Poison]
-
A.
Poison
Poison is a 2018 hip hop album by producer Swizz Beatz featuring a range of high-profile guest artists and a dark, hard-hitting sound.
-
B.
Poison
"Poison" is a hit glam metal song by American band Poison, best known for its catchy hooks and prominent place in late-1980s rock.
-
C.
Poison
Poison is a recurring character in Capcom’s Final Fight and Street Fighter series, known for her pink hair, revealing outfit, and acrobatic, whip-based fighting style.
-
D.
Poison
Poison is a famous and influential women's fragrance by Dior, known for its bold, sensual, and intoxicating scent profile.
-
E.
Poison
Poison is a 2000s-era American Christian metalcore band known for its heavy sound and faith-based lyrics.
- 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: Poison Triple: [Little Mountain Sound Studios, hasClient, Poison]
Generated description
Poison is an American glam metal band that rose to fame in the 1980s with hit songs like "Every Rose Has Its Thorn" and "Nothin' but a Good Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poison Target entity description: Poison is an American glam metal band that rose to fame in the 1980s with hit songs like "Every Rose Has Its Thorn" and "Nothin' but a Good Time."
-
A.
Poison
chosen
Poison is an American glam metal band best known for its 1980s hits like "Every Rose Has Its Thorn" and "Nothin' but a Good Time."
-
B.
Poison
"Poison" is a hit glam metal song by American band Poison, best known for its catchy hooks and prominent place in late-1980s rock.
-
C.
Poison
Poison is a 2000s-era American Christian metalcore band known for its heavy sound and faith-based lyrics.
-
D.
Poison
Poison is a famous and influential women's fragrance by Dior, known for its bold, sensual, and intoxicating scent profile.
-
E.
Poison
Poison is a 2018 hip hop album by producer Swizz Beatz featuring a range of high-profile guest artists and a dark, hard-hitting sound.
- F. None of above.
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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf7ae7c81908b6807acd8f1669b |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2f1da48190a1a01dbe25f8f0e9 |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008b5135788190af6cfca6cb333d26 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bee78248190b920d780bcbd3032 |
completed | May 10, 2026, 1:45 p.m. |
Created at: April 10, 2026, 5:18 a.m.