Triple
T16555517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammer & Tongs |
E402189
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Coffee & TV (music video) |
E1158032
|
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: Coffee & TV (music video) | Statement: [Hammer & Tongs, notableWork, Coffee & TV (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffee & TV (music video) Context triple: [Hammer & Tongs, notableWork, Coffee & TV (music video)]
-
A.
Coffee & TV
chosen
"Coffee & TV" is a Britpop/alternative rock song by Blur, best known for its melodic guitar work by Graham Coxon and its iconic music video featuring a walking milk carton.
-
B.
Hot Coffee
Hot Coffee is a fictional character who serves as the central protagonist in the 1977 film "Handle with Care."
-
C.
Coffee (Fucking)
"Coffee (Fucking)" is a remix version of Kelly Rowland's song "Coffee," featuring more explicit lyrics and a sensual, R&B-influenced production.
-
D.
Koffee
Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
-
E.
Cream in My Coffee
Cream in My Coffee is a British television drama written by Dennis Potter, known for its interwoven timelines and exploration of memory, aging, and lost love.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc887e881909607653df7fe71be |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ba4bec81909dfa87bcd2bfa7be |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.