Triple
T16672494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolutions per Minute |
E405139
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Like the Angel
"Like the Angel" is a politically charged melodic hardcore song by Rise Against from their album "Revolutions per Minute."
|
E1226941
|
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: Like the Angel | Statement: [Revolutions per Minute, hasTrack, Like the Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like the Angel Context triple: [Revolutions per Minute, hasTrack, Like the Angel]
-
A.
How Like an Angel
How Like an Angel is a 1962 psychological mystery novel by Margaret Millar that follows a troubled ex-clergyman drawn into a sinister religious cult and a missing-person investigation.
-
B.
The Angel
The Angel is a film featuring British actor Adeel Akhtar in a prominent role.
-
C.
The Angel
"The Angel" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its poetic lyrics and reflective, piano-driven style.
-
D.
The Angel
The Angel is a historic British inn and public house, often noted for its traditional architecture and role as a local social and lodging landmark.
-
E.
The Angel
The Angel is an electronic music producer and DJ known for crafting atmospheric, dance-oriented tracks featured in underground club culture and film soundtracks.
- 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: Like the Angel Triple: [Revolutions per Minute, hasTrack, Like the Angel]
Generated description
"Like the Angel" is a politically charged melodic hardcore song by Rise Against from their album "Revolutions per Minute."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Like the Angel Target entity description: "Like the Angel" is a politically charged melodic hardcore song by Rise Against from their album "Revolutions per Minute."
-
A.
How Like an Angel
How Like an Angel is a 1962 psychological mystery novel by Margaret Millar that follows a troubled ex-clergyman drawn into a sinister religious cult and a missing-person investigation.
-
B.
The Angel
The Angel is a film featuring British actor Adeel Akhtar in a prominent role.
-
C.
The Angel
"The Angel" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its poetic lyrics and reflective, piano-driven style.
-
D.
The Angel
The Angel is a historic British inn and public house, often noted for its traditional architecture and role as a local social and lodging landmark.
-
E.
The Angel
The Angel is an electronic music producer and DJ known for crafting atmospheric, dance-oriented tracks featured in underground club culture and film soundtracks.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b9a8b6481909df37edcecdd292c |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 5:19 a.m.