Triple
T11307362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Pill Blues |
E267749
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object |
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.
|
E917150
|
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 | Statement: [Red Pill Blues, containsSingle, Cold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cold Context triple: [Red Pill Blues, containsSingle, Cold]
-
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 novel by British author John Gardner that blends elements of espionage and psychological suspense.
-
E.
Chilly
Chilly is a stuffed snowman character from the children's animated series "Doc McStuffins," known for being a lovable but often overly worried patient in Doc's toy clinic.
- 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 Triple: [Red Pill Blues, containsSingle, Cold]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cold Target entity description: "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.
-
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 novel by British author John Gardner that blends elements of espionage and psychological suspense.
-
E.
Chilly
Chilly is a stuffed snowman character from the children's animated series "Doc McStuffins," known for being a lovable but often overly worried patient in Doc's toy clinic.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a62ceec8190af25edf44c5fc1e9 |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510fb1e288190a7a38fe896d7b91d |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.