Triple
T2010342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladies of the Canyon |
E43674
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
For Free
"For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
|
E225682
|
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: For Free | Statement: [Ladies of the Canyon, hasTrack, For Free]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For Free Context triple: [Ladies of the Canyon, hasTrack, For Free]
-
A.
Libre
Libre is a popular Yves Saint Laurent fragrance known for its bold, modern floral scent that blends lavender, orange blossom, and vanilla.
-
B.
Feel Free
Feel Free is a 2018 essay collection by British author Zadie Smith that explores culture, politics, literature, and personal experience with her characteristic wit and insight.
-
C.
Be Free
"Be Free" is a song by the Black Eyed Peas featured on their debut studio album "Behind the Front."
-
D.
Carefree
"Carefree" is a 1938 musical comedy film starring Fred Astaire and Ginger Rogers, known for its blend of dance, romance, and screwball humor.
-
E.
Free to Love
"Free to Love" is a novel by Ivana Trump that blends romance and high society drama, drawing on her experiences in the worlds of wealth, fashion, and power.
- 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: For Free Triple: [Ladies of the Canyon, hasTrack, For Free]
Generated description
"For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: For Free Target entity description: "For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
-
A.
Libre
Libre is a popular Yves Saint Laurent fragrance known for its bold, modern floral scent that blends lavender, orange blossom, and vanilla.
-
B.
Feel Free
Feel Free is a 2018 essay collection by British author Zadie Smith that explores culture, politics, literature, and personal experience with her characteristic wit and insight.
-
C.
Be Free
"Be Free" is a song by the Black Eyed Peas featured on their debut studio album "Behind the Front."
-
D.
Carefree
"Carefree" is a 1938 musical comedy film starring Fred Astaire and Ginger Rogers, known for its blend of dance, romance, and screwball humor.
-
E.
Free to Love
"Free to Love" is a novel by Ivana Trump that blends romance and high society drama, drawing on her experiences in the worlds of wealth, fashion, and power.
- 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.