Triple
T3972775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Permanent Vacation |
E92370
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Rag Doll
"Rag Doll" is a hit rock song by Aerosmith, released in 1988 and known for its bluesy groove and prominent horn section.
|
E404620
|
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: Rag Doll | Statement: [Permanent Vacation, hasPart, Rag Doll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rag Doll Context triple: [Permanent Vacation, hasPart, Rag Doll]
-
A.
Rumble Doll
Rumble Doll is Patti Scialfa’s debut solo album, showcasing her introspective songwriting and roots-rock style.
-
B.
Rags
Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
-
C.
Daddy
"Daddy" is a powerful and controversial confessional poem by Sylvia Plath that explores themes of trauma, oppression, and the speaker’s fraught relationship with her father.
-
D.
The Ralph
The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
-
E.
Sheba, Baby
Sheba, Baby is a 1975 blaxploitation crime-action film starring Pam Grier as a tough private investigator returning to her hometown to battle corrupt businessmen threatening her father's business.
- 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: Rag Doll Triple: [Permanent Vacation, hasPart, Rag Doll]
Generated description
"Rag Doll" is a hit rock song by Aerosmith, released in 1988 and known for its bluesy groove and prominent horn section.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rag Doll Target entity description: "Rag Doll" is a hit rock song by Aerosmith, released in 1988 and known for its bluesy groove and prominent horn section.
-
A.
Rumble Doll
Rumble Doll is Patti Scialfa’s debut solo album, showcasing her introspective songwriting and roots-rock style.
-
B.
Rags
Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
-
C.
Daddy
"Daddy" is a powerful and controversial confessional poem by Sylvia Plath that explores themes of trauma, oppression, and the speaker’s fraught relationship with her father.
-
D.
The Ralph
The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
-
E.
Sheba, Baby
Sheba, Baby is a 1975 blaxploitation crime-action film starring Pam Grier as a tough private investigator returning to her hometown to battle corrupt businessmen threatening her father's business.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef996ff6c8190ba8cc490e4744b95 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540139c2c819080aa19b13540c76a |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b540eb53788190aa281ee38edc1729 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b541a55cb081909ec1f87a7553b6f2 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:32 p.m.