Triple
T2010243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue |
E43672
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
My Old Man
"My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
|
E225667
|
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 Old Man | Statement: [Blue, hasTrack, My Old Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Old Man Context triple: [Blue, hasTrack, My Old Man]
-
A.
Same Old Man
"Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
-
B.
My Man
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
-
C.
Grow Old With Me
Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
-
D.
Old Men Forget
Old Men Forget is the acclaimed 1953 political and literary memoir of British statesman and diplomat Duff Cooper, reflecting on his public life and times.
-
E.
Cautious Man
Cautious Man is a song by Bruce Springsteen from his album "Tunnel of Love," known for its introspective storytelling about love, fear, and commitment.
- 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 Old Man Triple: [Blue, hasTrack, My Old Man]
Generated description
"My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: My Old Man Target entity description: "My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
-
A.
Same Old Man
"Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
-
B.
My Man
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
-
C.
Grow Old With Me
Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
-
D.
Old Men Forget
Old Men Forget is the acclaimed 1953 political and literary memoir of British statesman and diplomat Duff Cooper, reflecting on his public life and times.
-
E.
Cautious Man
Cautious Man is a song by Bruce Springsteen from his album "Tunnel of Love," known for its introspective storytelling about love, fear, and commitment.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae5f0748190aecee47884c61ecc |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0bab9d7c8190acde67a6301e18ec |
completed | March 8, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c2fe1a88190867b1d533d58b7fc |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:37 p.m.