Triple
T9319827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Fuller |
E224218
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Samuel Fuller |
E11214
|
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: Samuel Fuller | Statement: [Ann Fuller, spouse, Samuel Fuller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Fuller Context triple: [Ann Fuller, spouse, Samuel Fuller]
-
A.
Samuel Fuller
chosen
Samuel Fuller was an English physician and prominent Pilgrim who sailed on the Mayflower and served as the chief doctor for the Plymouth Colony.
-
B.
Samuel Fuller
Samuel Fuller was an American film director, screenwriter, and novelist known for his hard-hitting, low-budget genre films that often explored themes of war, crime, and social conflict.
-
C.
Sam Fuller
Sam Fuller is a tough, no-nonsense FBI agent who becomes Gracie Hart’s reluctant partner and ally in the comedy film "Miss Congeniality 2: Armed and Fabulous."
-
D.
Samuel Fuller Jr.
Samuel Fuller Jr. is the son of American filmmaker, screenwriter, and novelist Samuel Fuller, known for his influential work in mid-20th-century cinema.
-
E.
Carl Foreman
Carl Foreman was an American screenwriter and producer best known for his politically charged, character-driven films of the 1950s, including the classic Western "High Noon."
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358c7d348190a10fd8670d7756f5 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3aa178881909e773e11c3892381 |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:38 p.m.