Triple
T10845213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rake |
E255991
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Rake (U.S. TV series) |
E255991
|
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: Rake (U.S. TV series) | Statement: [Rake, hasAdaptation, Rake (U.S. TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rake (U.S. TV series) Context triple: [Rake, hasAdaptation, Rake (U.S. TV series)]
-
A.
Rake
Rake is a Ruby-based build automation tool similar to Make, used to define and run tasks via Ruby code.
-
B.
Rake
chosen
Rake is an Australian television legal comedy-drama series centered on a brilliant but self-destructive criminal defense barrister.
-
C.
Hancock (retitled television series)
Hancock (retitled television series) is a British sitcom starring Tony Hancock, created as a later television vehicle for his comedy following the success of Hancock's Half Hour.
-
D.
Cracker (TV series)
Cracker is a British crime drama television series centered on a brilliant but troubled criminal psychologist who helps the police solve complex cases.
-
E.
Crash (TV series)
Crash is an American drama television series, inspired by the 2004 film of the same name, that explores the intersecting lives and tensions among diverse residents of Los Angeles.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb162d718819081fbc3a082672b4f |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:19 p.m.