Triple
T14631562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie |
E343489
|
entity |
| Predicate | chronology |
P302
|
FINISHED |
| Object | precedes Bandana |
E343484
|
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: precedes Bandana | Statement: [Freddie, chronology, precedes Bandana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: precedes Bandana Context triple: [Freddie, chronology, precedes Bandana]
-
A.
Bandana
Bandana is the former stage name of Ghanaian dancehall artist Shatta Wale, under which he first gained popularity in the early 2000s.
-
B.
Bandana
chosen
Bandana is a critically acclaimed collaborative hip-hop album by rapper Freddie Gibbs and producer Madlib, known for its intricate lyricism and soulful, sample-heavy production.
-
C.
Banda
Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
-
D.
Bandhni
Bandhni is a traditional Indian tie-dye textile art known for its intricate patterns created by plucking, tying, and dyeing small sections of fabric.
-
E.
Bandag
Bandag is a Bridgestone-owned brand best known for its commercial truck tire retreading products and services.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda931834081909d90ec0479eca3f9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.