Triple
T12840316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Foreman |
E307030
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Big George |
E307030
|
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: Big George | Statement: [George Foreman, hasNickname, Big George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big George Context triple: [George Foreman, hasNickname, Big George]
-
A.
Big George
chosen
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.
-
B.
Arthur Googy
Arthur Googy is an American drummer best known for his early 1980s work with the influential horror punk band Misfits.
-
C.
George and the Blue Moon
George and the Blue Moon is a children's science-themed adventure novel in the "George" series by Lucy and Stephen Hawking that blends fiction with real scientific concepts about space and the universe.
-
D.
Georgie
Georgie is a personal given name used by Ruth Georgie Erica Schrödinger.
-
E.
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.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edeaa1881909e06600ef88727de |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:35 p.m.