Triple
T17884764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetworks |
E447172
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Graeme |
—
|
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: Graeme | Statement: [Wetworks, mainCharacter, Graeme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graeme Context triple: [Wetworks, mainCharacter, Graeme]
-
A.
Graeme
chosen
Graeme is a masculine given name of Scottish origin, commonly used in English-speaking countries.
-
B.
Roland Graeme
Roland Graeme is the young, impulsive protagonist of Walter Scott’s historical novel "The Abbot," whose adventures unfold amid the religious and political turmoil of 16th-century Scotland.
-
C.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
D.
Gareth
Gareth is a masculine given name of Welsh origin, commonly used in English-speaking countries.
-
E.
Tom Grummett
Tom Grummett is a Canadian comic book artist best known for his work on DC Comics titles such as Superman and Teen Titans.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c11530881908ad98fbd0a52b1c3 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.