Triple
T14206564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Haze |
E352108
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Come Home with Me |
E352107
|
NE FINISHED |
How this triple was built (2 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: Come Home with Me | Statement: [Purple Haze, follows, Come Home with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Come Home with Me Context triple: [Purple Haze, follows, Come Home with Me]
-
A.
Come Home with Me
chosen
Come Home with Me is a 2002 studio album by rapper Cam'ron that helped popularize the early-2000s New York hip-hop sound and features hits like "Oh Boy" and "Hey Ma."
-
B.
Bring Me Home
Bring Me Home is a novel by British gardener, broadcaster, and author Alan Titchmarsh that blends family drama with themes of heritage and belonging.
-
C.
Back Home
"Back Home" is a 1947 memoir by American cartoonist Bill Mauldin that reflects on his experiences returning to civilian life after World War II and critiques postwar American society.
-
D.
Back Home
"Back Home" is a pop song best known as a solo single by English singer-songwriter and producer Simon Climie.
-
E.
Back Home
"Back Home" is a song by American electronica artist Owl City from his album "Mobile Orchestra."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb5a64c81908cb8c50bbfa239a4 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:05 a.m.