Triple
T20520892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recipe for Hate |
E503803
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
My Poor Friend Me
"My Poor Friend Me" is a song by the American punk rock band Bad Religion from their 1992 album "Recipe for Hate."
|
E1436301
|
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: My Poor Friend Me | Statement: [Recipe for Hate, hasTrack, My Poor Friend Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Poor Friend Me Context triple: [Recipe for Hate, hasTrack, My Poor Friend Me]
-
A.
My Friend
"My Friend" is a song featured on the EP "Available Light."
-
B.
This Is My Friend
"This Is My Friend" is a film project associated with actor Noah Lee Ritter, known primarily for its connection to his emerging body of work.
-
C.
Friend of Mine
"Friend of Mine" is a track by The Notorious B.I.G. from his landmark 1994 debut hip-hop album *Ready to Die*.
-
D.
Friend of Mine
"Friend of Mine" is a pop song by English singer-songwriter Jess Glynne, featured on her 2018 album "Always In Between."
-
E.
My Friends
My Friends is a classic 1975 Italian comedy-drama film, co-written by Furio Scarpelli, that follows a group of middle-aged friends in Florence as they engage in elaborate pranks and reflect on aging, friendship, and regret.
- 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: My Poor Friend Me Triple: [Recipe for Hate, hasTrack, My Poor Friend Me]
Generated description
"My Poor Friend Me" is a song by the American punk rock band Bad Religion from their 1992 album "Recipe for Hate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: My Poor Friend Me Target entity description: "My Poor Friend Me" is a song by the American punk rock band Bad Religion from their 1992 album "Recipe for Hate."
-
A.
My Friend
"My Friend" is a song featured on the EP "Available Light."
-
B.
This Is My Friend
"This Is My Friend" is a film project associated with actor Noah Lee Ritter, known primarily for its connection to his emerging body of work.
-
C.
Friend of Mine
"Friend of Mine" is a track by The Notorious B.I.G. from his landmark 1994 debut hip-hop album *Ready to Die*.
-
D.
Friend of Mine
"Friend of Mine" is a pop song by English singer-songwriter Jess Glynne, featured on her 2018 album "Always In Between."
-
E.
My Friends
My Friends is a classic 1975 Italian comedy-drama film, co-written by Furio Scarpelli, that follows a group of middle-aged friends in Florence as they engage in elaborate pranks and reflect on aging, friendship, and regret.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4587c481908544f89572d164b0 |
completed | April 20, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d3f6e208190ad10cc5cc3a41a57 |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089e69e1bc8190b2975e9a810fba77 |
completed | May 16, 2026, 4:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089f4b56c48190a5e83f4678c525e3 |
completed | May 16, 2026, 4:46 p.m. |
Created at: April 16, 2026, 11:36 a.m.