Triple
T12277355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Stoody |
E292622
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | George & Leo |
E60343
|
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: George & Leo | Statement: [George Stoody, appearsIn, George & Leo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George & Leo Context triple: [George Stoody, appearsIn, George & Leo]
-
A.
George & Leo
chosen
George & Leo is a short-lived 1990s American sitcom starring Bob Newhart and Judd Hirsch as an unlikely pair of in-laws navigating family and generational clashes.
-
B.
Georgie
Georgie is a personal given name used by Ruth Georgie Erica Schrödinger.
-
C.
Georgie
Georgie is a character from the British romantic comedy film "Chalet Girl," which follows a former skateboarding champion working at an upscale ski resort.
-
D.
Georgie
Georgie is one of Alex's fellow teenage delinquents and a member of his violent gang in Anthony Burgess's dystopian novel "A Clockwork Orange."
-
E.
Big George
Big George is the famous nickname of George Foreman, the two-time world heavyweight boxing champion and Olympic gold medalist who later became a successful entrepreneur and television personality.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6d72d081908c8697257df712f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.