Triple
T15595979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Cochinos |
E374890
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | “Trippin’ in Court” |
E1167182
|
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: “Trippin’ in Court” | Statement: [Los Cochinos, hasTrack, “Trippin’ in Court”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Trippin’ in Court” Context triple: [Los Cochinos, hasTrack, “Trippin’ in Court”]
-
A.
“Trippin’ in Court”
chosen
“Trippin’ in Court” is a comedy sketch featured on Cheech & Chong’s 1973 album *Los Cochinos*, showcasing their stoner humor in a courtroom setting.
-
B.
Trippin' on Sunshine
"Trippin' on Sunshine" is a 1990s house track by the British electronic music duo Pizzaman, known for its upbeat, feel-good vibe and club popularity.
-
C.
Trippin'
"Trippin'" is a song by the rock band Awake.
-
D.
Trippin’
Trippin’ is a song by the American R&B group Total, known for its smooth harmonies and late-1990s contemporary R&B sound.
-
E.
“Get Low, Get High”
“Get Low, Get High” is a country-rap song by American artist Willie Jones that blends hip-hop beats with country storytelling and party themes.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f355ff48190a2c2c262c09e6de0 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:12 a.m.