Triple
T1842677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo |
E41209
|
entity |
| Predicate | hasFeminineRelatedName |
P1613
|
FINISHED |
| Object | Dorothea |
E10813
|
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: [Theo, hasFeminineRelatedName, Dorothea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothea Context triple: [Theo, hasFeminineRelatedName, Dorothea]
-
A.
Dorothea
chosen
Dorothea is the middle name of Angela Merkel, the long-serving former chancellor of Germany.
-
B.
Rosamond
Rosamond is an unincorporated desert community in Southern California’s Antelope Valley, known for its proximity to Edwards Air Force Base and the Mojave Desert.
-
C.
Geraldine
Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
-
D.
Ambrosine Phillpotts
Ambrosine Phillpotts was a British character actress known for her numerous supporting roles in mid-20th-century film, theatre, and television.
-
E.
Helen Schlegel
Helen Schlegel is an idealistic, impulsive young woman from E.M. Forster’s novel "Howards End," known for her passionate nature and progressive social views.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c2354081909ee4da7669932796 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c482908190b940497fc5d5db60 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:33 p.m.