Triple
T31301296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are Never Ever Getting Back Together |
E798220
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Red
Red is a 2012 studio album by Taylor Swift that blends country and pop influences and includes the hit single "We Are Never Ever Getting Back Together."
|
E227272
|
NE FINISHED |
How this triple was built (2 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: Red | Statement: [We Are Never Ever Getting Back Together, album, Red]
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: Red Triple: [We Are Never Ever Getting Back Together, album, Red]
Generated description
Red is a 2012 studio album by Taylor Swift that blends country and pop influences and includes the hit single "We Are Never Ever Getting Back Together."
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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69e34e5c88190b85769d7da72df4e |
completed | May 3, 2026, 1 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2a1e3915f88190a5ef9ea2a7536bd5 |
completed | June 11, 2026, 2:32 a.m. |
| NEDg | Description generation | batch_6a2a2885c904819098bcce45082f0e17 |
completed | June 11, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2a2b685e188190b025bc27621b1d18 |
completed | June 11, 2026, 3:28 a.m. |
Created at: April 29, 2026, 9:14 p.m.