Triple
T9825890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dede Allen |
E238651
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dorothea |
E711582
|
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: Dorothea | Statement: [Dede Allen, givenName, Dorothea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothea Context triple: [Dede Allen, givenName, Dorothea]
-
A.
Dorothea
Dorothea is the middle name of Angela Merkel, the long-serving former chancellor of Germany.
-
B.
Dorothea
chosen
Dorothea is a feminine given name of Greek origin, commonly associated with the meaning "gift of God."
-
C.
Dorothea and Francesca
"Dorothea and Francesca" is a celebrated portrait painting by American artist Cecilia Beaux, known for its refined depiction of two young girls and its subtle, impressionistic handling of light and color.
-
D.
Dorothea Brooke
Dorothea Brooke is the idealistic, intellectually ambitious young heroine of George Eliot’s novel "Middlemarch," whose quest for moral purpose and meaningful work drives much of the story’s emotional and philosophical depth.
-
E.
Dorothea Schlegel
Dorothea Schlegel was a German Romantic-era novelist, translator, and literary critic associated with the early Romantic circle in Jena and Berlin.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb32370e8819087c85fb8328587be |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc84b0a481909000a0f04e3676d0 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.