Triple
T10845199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rake |
E255991
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Cleaver Greene
Cleaver Greene is the brilliant yet self-destructive criminal defense barrister and antihero protagonist of the Australian television series "Rake."
|
E889600
|
NE FINISHED |
How this triple was built (4 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: Cleaver Greene | Statement: [Rake, character, Cleaver Greene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleaver Greene Context triple: [Rake, character, Cleaver Greene]
-
A.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
B.
Cedar Lee
Cedar Lee is a vibrant arts and entertainment district in Cleveland Heights, Ohio, known for its independent cinema, eclectic dining, and local shops.
-
C.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
D.
Oakes
Oakes is a surname of English origin borne by various notable individuals, including Patricia Luisa Oakes.
-
E.
Dedridge
Dedridge is a residential neighbourhood within the new town of Livingston in West Lothian, Scotland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cleaver Greene Triple: [Rake, character, Cleaver Greene]
Generated description
Cleaver Greene is the brilliant yet self-destructive criminal defense barrister and antihero protagonist of the Australian television series "Rake."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cleaver Greene Target entity description: Cleaver Greene is the brilliant yet self-destructive criminal defense barrister and antihero protagonist of the Australian television series "Rake."
-
A.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
B.
Cedar Lee
Cedar Lee is a vibrant arts and entertainment district in Cleveland Heights, Ohio, known for its independent cinema, eclectic dining, and local shops.
-
C.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
D.
Oakes
Oakes is a surname of English origin borne by various notable individuals, including Patricia Luisa Oakes.
-
E.
Dedridge
Dedridge is a residential neighbourhood within the new town of Livingston in West Lothian, Scotland.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69dec255abb08190bf93573c41aa35e9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7c48c3c81909365b901830f0906 |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:19 p.m.