Triple
T6691643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Inimitable Jeeves |
E152640
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fixing it for Freddie |
E170796
|
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: Fixing it for Freddie | Statement: [The Inimitable Jeeves, hasPart, Fixing it for Freddie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fixing it for Freddie Context triple: [The Inimitable Jeeves, hasPart, Fixing it for Freddie]
-
A.
Fixing it for Freddie
chosen
"Fixing it for Freddie" is a humorous short story by P. G. Wodehouse featuring his iconic valet-butler duo Jeeves and Bertie Wooster.
-
B.
Fixin
Fixin is a Burgundy wine appellation in eastern France known for its robust red wines made primarily from Pinot Noir.
-
C.
Freddie
Freddie is a common diminutive given name, typically used as a nickname for Alfred or similar names.
-
D.
Freddie
"Freddie" is a 2018 studio album by American rapper Freddie Gibbs, known for its gritty lyricism and dark, hard-hitting production.
-
E.
Free’s
"Free’s" is a song featured on the album *Apocalypse*.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b15276208190b4c0e90ca337d2b4 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b70ef88190b605c3c70a941cdb |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.