Triple
T9426179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Swift (album) |
E227269
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Cold as You
"Cold as You" is an early Taylor Swift country ballad known for its raw portrayal of heartbreak and emotional vulnerability.
|
E798196
|
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 as You | Statement: [Taylor Swift (album), track, Cold as You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cold as You Context triple: [Taylor Swift (album), track, Cold as You]
-
A.
You're So Cold
"You're So Cold" is a song whose themes center on emotional distance and coldness in a relationship.
-
B.
Out in the Cold
"Out in the Cold" is a song by Tom Petty and the Heartbreakers from their 1991 album "Into the Great Wide Open."
-
C.
Cold as Ice
"Cold as Ice" is a 1977 rock song by the British-American band Foreigner, known for its catchy piano riff and themes of emotional detachment in a romantic relationship.
-
D.
Cold, Cold Heart
"Cold, Cold Heart" is a classic country song by Hank Williams, renowned for its poignant lyrics about heartbreak and emotional distance.
-
E.
Ice Cold
Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
- 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 as You Triple: [Taylor Swift (album), track, Cold as You]
Generated description
"Cold as You" is an early Taylor Swift country ballad known for its raw portrayal of heartbreak and emotional vulnerability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cold as You Target entity description: "Cold as You" is an early Taylor Swift country ballad known for its raw portrayal of heartbreak and emotional vulnerability.
-
A.
You're So Cold
"You're So Cold" is a song whose themes center on emotional distance and coldness in a relationship.
-
B.
Out in the Cold
"Out in the Cold" is a song by Tom Petty and the Heartbreakers from their 1991 album "Into the Great Wide Open."
-
C.
Cold as Ice
"Cold as Ice" is a 1977 rock song by the British-American band Foreigner, known for its catchy piano riff and themes of emotional detachment in a romantic relationship.
-
D.
Cold, Cold Heart
"Cold, Cold Heart" is a classic country song by Hank Williams, renowned for its poignant lyrics about heartbreak and emotional distance.
-
E.
Ice Cold
Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107da6aa88190a015ee4a6eea2a4a |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d1087d01b08190aa4d17241244c26c |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d109042fec819087371150d2c2cf87 |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:49 p.m.