Triple
T3985619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Wyman |
E86863
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Sarah Jane Fulks |
E86863
|
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: Sarah Jane Fulks | Statement: [Jane Wyman, birthName, Sarah Jane Fulks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Jane Fulks Context triple: [Jane Wyman, birthName, Sarah Jane Fulks]
-
A.
Sarah Jane Fulks
chosen
Sarah Jane Fulks was the birth name of Jane Wyman, the Academy Award–winning American film and television actress and first wife of Ronald Reagan.
-
B.
Dixie Pearl Followill
Dixie Pearl Followill is the daughter of American model Lily Aldridge and Kings of Leon frontman Caleb Followill.
-
C.
Jane Fulks
Jane Fulks is the birth name of Jane Wyman, the Academy Award–winning American actress and first wife of Ronald Reagan.
-
D.
Rollie Lynn Riggs
Rollie Lynn Riggs was an American playwright, poet, and screenwriter best known for his play "Green Grow the Lilacs," which inspired the classic musical "Oklahoma!".
-
E.
Sarah Curtis
Sarah Curtis is a British film producer known for her work on acclaimed dramas and literary adaptations, including the World War II film "Charlotte Gray."
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dfaf28819081b547836d79b889 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5402bbe208190947321353c309c98 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.