Triple
T11323337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypnotic Eye |
E268144
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object |
U Get Me High
"U Get Me High" is a rock song by Tom Petty and the Heartbreakers, featured on their 2014 album *Hypnotic Eye*.
|
E919177
|
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: U Get Me High | Statement: [Hypnotic Eye, containsSingle, U Get Me High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U Get Me High Context triple: [Hypnotic Eye, containsSingle, U Get Me High]
-
A.
I Get High
"I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
-
B.
You’re Makin’ Me High
"You’re Makin’ Me High" is a 1996 sultry R&B single by Toni Braxton that became one of her signature hits, topping the Billboard Hot 100 and earning critical acclaim.
-
C.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
D.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
-
E.
How High
How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
- 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: U Get Me High Triple: [Hypnotic Eye, containsSingle, U Get Me High]
Generated description
"U Get Me High" is a rock song by Tom Petty and the Heartbreakers, featured on their 2014 album *Hypnotic Eye*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U Get Me High Target entity description: "U Get Me High" is a rock song by Tom Petty and the Heartbreakers, featured on their 2014 album *Hypnotic Eye*.
-
A.
I Get High
"I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
-
B.
You’re Makin’ Me High
"You’re Makin’ Me High" is a 1996 sultry R&B single by Toni Braxton that became one of her signature hits, topping the Billboard Hot 100 and earning critical acclaim.
-
C.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
D.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
-
E.
How High
How High is a 2001 stoner comedy film starring Method Man and Redman as underachieving friends who use a supernatural strain of marijuana to succeed at Harvard University.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525ed950081908ec94cfbf8849e85 |
completed | April 19, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69e52c82b6108190aec9b6e9d726f803 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.