Triple
T15433563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Last Meal |
E369699
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hennesey n Buddah |
E369161
|
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: Hennesey n Buddah | Statement: [Tha Last Meal, hasPart, Hennesey n Buddah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hennesey n Buddah Context triple: [Tha Last Meal, hasPart, Hennesey n Buddah]
-
A.
Hennesey n Buddah
chosen
"Hennesey n Buddah" is a track by Snoop Dogg known for its laid-back West Coast G-funk vibe and smooth, party-oriented lyrics.
-
B.
Buddah Bless
Buddah Bless is a hip-hop record producer known for crafting energetic, hard-hitting beats for prominent rap artists.
-
C.
The Hop
"The Hop" is a track by A Tribe Called Quest from their 1996 album *Beats, Rhymes and Life*, showcasing the group's signature jazzy, laid-back hip-hop style.
-
D.
Hawaiʻi ʻ78
"Hawaiʻi ʻ78" is a poignant song by Israel Kamakawiwoʻole that reflects on the cultural and political changes in Hawaiʻi and mourns the loss of its traditional way of life.
-
E.
Red Cow
Red Cow is a major Luas light rail stop and park-and-ride interchange on the outskirts of Dublin, Ireland.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8546948190a69ae1306bc19c64 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:21 a.m.