Triple
T22189279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Lipnicki |
E548374
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | George Little |
—
|
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: George Little | Statement: [Jonathan Lipnicki, playedCharacter, George Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Little Context triple: [Jonathan Lipnicki, playedCharacter, George Little]
-
A.
George Little
chosen
George Little is a personal name shared by multiple individuals, including figures in fields such as politics, academia, and the arts.
-
B.
Roy Little
Roy Little is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
C.
Greg Littlewood
Greg Littlewood is a cinematographer best known for his work on the cult independent film "SLC Punk!".
-
D.
James Noble
James Noble was an early 19th-century American politician from Indiana who served as one of the state's first U.S. senators.
-
E.
George Dilboy
George Dilboy was a Greek-American U.S. Army soldier and Medal of Honor recipient recognized for his heroism during World War I.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.