Triple
T17216653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Germans |
E417869
|
entity |
| Predicate | writtenBy |
P806
|
FINISHED |
| Object | Connie Booth |
—
|
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: Connie Booth | Statement: [The Germans, writtenBy, Connie Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connie Booth Context triple: [The Germans, writtenBy, Connie Booth]
-
A.
Connie Booth
chosen
Connie Booth is an American-born actress and writer best known for co-writing and starring as Polly in the classic British sitcom "Fawlty Towers."
-
B.
Elizabeth Booth
Elizabeth Booth was a 19th-century American woman best known as a member of the prominent Booth theatrical family, daughter of the famed Shakespearean actor Junius Brutus Booth.
-
C.
Elizabeth Booth
Elizabeth Booth is a woman known primarily as the daughter of Mary Ann Holmes Booth.
-
D.
Connie Gilchrist
Connie Gilchrist was an American character actress known for her warm, no-nonsense portrayals in numerous Hollywood films and television shows from the 1930s through the 1960s.
-
E.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dda6e6c81908dd96f653cd2cba0 |
completed | April 19, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:38 a.m.