Triple
T22131324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opiate |
E546909
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Cold and Ugly
"Cold and Ugly" is a heavy, early-era song by the American rock band Tool, known for its aggressive sound and appearance on their debut EP *Opiate*.
|
E1520073
|
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: Cold and Ugly | Statement: [Opiate, hasTrack, Cold and Ugly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cold and Ugly Context triple: [Opiate, hasTrack, Cold and Ugly]
-
A.
Cold
"Cold" is a song by GOOD Music, best known for its collaboration between Kanye West and DJ Khaled that blends braggadocious lyrics with a hard-hitting, minimalist beat.
-
B.
Cold
"Cold" is an autobiographical book by British explorer Sir Ranulph Fiennes recounting his extreme polar expeditions and experiences in some of the harshest climates on Earth.
-
C.
Cold
"Cold" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
-
D.
Cold
"Cold" is a pop-influenced song by Maroon 5 featuring rapper Future, known for its moody production and themes of emotional distance in a relationship.
-
E.
Cold
Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
- 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: Cold and Ugly Triple: [Opiate, hasTrack, Cold and Ugly]
Generated description
"Cold and Ugly" is a heavy, early-era song by the American rock band Tool, known for its aggressive sound and appearance on their debut EP *Opiate*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cold and Ugly Target entity description: "Cold and Ugly" is a heavy, early-era song by the American rock band Tool, known for its aggressive sound and appearance on their debut EP *Opiate*.
-
A.
Cold
"Cold" is a song by GOOD Music, best known for its collaboration between Kanye West and DJ Khaled that blends braggadocious lyrics with a hard-hitting, minimalist beat.
-
B.
Cold
"Cold" is an autobiographical book by British explorer Sir Ranulph Fiennes recounting his extreme polar expeditions and experiences in some of the harshest climates on Earth.
-
C.
Cold
"Cold" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
-
D.
Cold
"Cold" is a pop-influenced song by Maroon 5 featuring rapper Future, known for its moody production and themes of emotional distance in a relationship.
-
E.
Cold
Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12985e3688190917884c6bd487810 |
completed | April 28, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f28fc088190b4ce69c03d57605a |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a91feddf4819087077ee1bc04a195 |
completed | May 18, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a92926ec8819089838720431f63e0 |
completed | May 18, 2026, 4:16 a.m. |
Created at: April 16, 2026, 8:32 p.m.