Triple
T20167957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Burdis |
E491875
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Wee Man |
—
|
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: The Wee Man | Statement: [Ray Burdis, notableWork, The Wee Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wee Man Context triple: [Ray Burdis, notableWork, The Wee Man]
-
A.
The Wee Man
chosen
The Wee Man is a Scottish crime film that dramatizes the life of Glasgow gangster Paul Ferris and the city’s violent underworld.
-
B.
The Changingman
"The Changingman" is a song by English singer-songwriter Paul Weller, known for its driving rock sound and introspective lyrics, released as a single from his 1995 album "Stanley Road."
-
C.
The Magic Man
The Magic Man is the nickname of Pavel Datsyuk, a Russian former NHL star renowned for his exceptional puck-handling, creativity, and two-way play.
-
D.
The Waif
The Waif is a mysterious and ruthless acolyte of the Faceless Men in Game of Thrones, known for training and tormenting Arya Stark in the House of Black and White.
-
E.
The Grisly Folk
"The Grisly Folk" is a short story by H. G. Wells that imagines a prehistoric, brutish humanoid species and explores themes of human evolution and the violent displacement of earlier races.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66845cb588190820c50eea0c40d83 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.