Triple
T15595967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Cochinos |
E374890
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Big Bambu |
E1112224
|
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: Big Bambu | Statement: [Los Cochinos, follows, Big Bambu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Bambu Context triple: [Los Cochinos, follows, Big Bambu]
-
A.
Big Bambu
chosen
Big Bambu is a 1972 comedy album by the duo Cheech & Chong, known for its stoner humor and elaborate novelty packaging that mimicked a giant rolling paper pack.
-
B.
Bamboo Banga
"Bamboo Banga" is the energetic, rhythm-driven opening track by M.I.A. from her 2007 album "Kala," blending electronic, world music, and hip hop influences.
-
C.
Bamboutos
Bamboutos is a department in western Cameroon known for its highland landscapes and agricultural activities.
-
D.
Bumba Da
Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
-
E.
Inbam
Inbam is the third section of the ancient Tamil classic Tirukkural, focusing on love and the emotional aspects of human life.
- 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_69ff56ca72ec8190a237db843dc6d625 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.