Triple
T9560499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Forney |
E230658
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ellen |
E70283
|
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: Ellen | Statement: [Ellen Forney, givenName, Ellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Context triple: [Ellen Forney, givenName, Ellen]
-
A.
Ellen
Ellen is a character in William Morris’s utopian novel "News from Nowhere," representing aspects of the idealized future society depicted in the book.
-
B.
Ellen
"Ellen" is an American television sitcom starring Ellen DeGeneres that became especially notable for its groundbreaking coming-out episode in the 1990s.
-
C.
Ellen
chosen
Ellen is a feminine given name of Greek origin, commonly associated with meanings related to light or brightness.
-
D.
Ellen (in some versions)
Ellen is a character in certain versions of the Robin Hood legends, depicted as the wife or love interest of the minstrel Alan-a-Dale.
-
E.
Ellen Louise
Ellen Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994bde0c8190afcba5cb8fa8b984 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1529b4974819096e26153c60bf05c |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:03 p.m.