Triple
T12202188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Float |
E290741
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
I Need Weed
"I Need Weed" is a song by the rapper Float, likely centered on themes of cannabis use and laid-back, stoner lifestyle.
|
E971599
|
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: I Need Weed | Statement: [Float, hasTrack, I Need Weed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Need Weed Context triple: [Float, hasTrack, I Need Weed]
-
A.
This Weed Iz Mine
"This Weed Iz Mine" is a cannabis-themed hip hop track by Snoop Dogg featured on his album "Doggumentary."
-
B.
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.
-
C.
Weeds
Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
-
D.
Weeds
Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
-
E.
The Magnificent Dope
The Magnificent Dope is a 1942 American comedy film starring Henry Fonda and Lynn Bari that satirizes self-improvement fads and the pursuit of success.
- 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: I Need Weed Triple: [Float, hasTrack, I Need Weed]
Generated description
"I Need Weed" is a song by the rapper Float, likely centered on themes of cannabis use and laid-back, stoner lifestyle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Need Weed Target entity description: "I Need Weed" is a song by the rapper Float, likely centered on themes of cannabis use and laid-back, stoner lifestyle.
-
A.
This Weed Iz Mine
"This Weed Iz Mine" is a cannabis-themed hip hop track by Snoop Dogg featured on his album "Doggumentary."
-
B.
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.
-
C.
Weeds
Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
-
D.
Weeds
Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
-
E.
The Magnificent Dope
The Magnificent Dope is a 1942 American comedy film starring Henry Fonda and Lynn Bari that satirizes self-improvement fads and the pursuit of success.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7b97408190a11ea37cc6edf18c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a982e308190979245ac9643465a |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdbee288190991b08ae685bb401 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f610b8efe88190907e84247d9e8456 |
completed | May 2, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:51 p.m.