Triple
T17909607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscle Man |
E447785
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Rigby |
—
|
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: Rigby | Statement: [Muscle Man, worksWith, Rigby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rigby Context triple: [Muscle Man, worksWith, Rigby]
-
A.
Rigby
chosen
Rigby is a hyperactive, mischievous raccoon and one of the two slacker protagonists of the animated series Regular Show.
-
B.
Wilby
Wilby is an English surname most notably borne by actor James Wilby, known for his roles in British film and television.
-
C.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
-
D.
Rackerby
Rackerby is a small unincorporated rural community in Northern California known for its forested surroundings and quiet, sparsely populated setting.
-
E.
Muscliff
Muscliff is a residential suburb within the coastal urban area of Bournemouth in Dorset, England.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9f4f888190840c8b55672becf8 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.