Triple
T31164499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muswell Hillbillies |
E794433
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
20th Century Man
"20th Century Man" is a song by the Kinks, known for its nostalgic and critical reflection on modern life and technological progress.
|
E1949685
|
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: 20th Century Man | Statement: [Muswell Hillbillies, hasPart, 20th Century Man]
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: 20th Century Man Triple: [Muswell Hillbillies, hasPart, 20th Century Man]
Generated description
"20th Century Man" is a song by the Kinks, known for its nostalgic and critical reflection on modern life and technological progress.
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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f698502a588190a7f8fb0879e4b134 |
completed | May 3, 2026, 12:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a29472ec64081909d65baea82264d67 |
completed | June 10, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_6a29482e8bc48190a1d257c7286b1ab1 |
completed | June 10, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a294eea0f148190a57b7ab05b9f0227 |
completed | June 10, 2026, 11:47 a.m. |
Created at: April 29, 2026, 9:07 p.m.