Triple
T21008153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Harvey |
E517468
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Expresso Bongo |
—
|
NE NERFINISHED |
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: Expresso Bongo | Statement: [Laurence Harvey, notableWork, Expresso Bongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expresso Bongo Context triple: [Laurence Harvey, notableWork, Expresso Bongo]
-
A.
Expresso Bongo
chosen
Expresso Bongo is a 1959 British satirical musical film that lampoons the music industry and youth culture in London’s Soho.
-
B.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
C.
Vossi Bop
Vossi Bop is a hit grime/rap single by British artist Stormzy, known for its catchy hook, political references, and chart-topping success in the UK.
-
D.
Mango Loco
Mango Loco is a tropical, mango-flavored energy drink variant in the Monster Energy product line, known for its sweet, fruity taste and colorful Day of the Dead-inspired can design.
-
E.
Bongo ByTheWay
Bongo ByTheWay is an American record producer and songwriter known for his work in contemporary R&B and hip-hop with prominent artists across the industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3dcb5081909b06d6db10fefba6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.