Triple
T3882679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia |
E92860
|
entity |
| Predicate | cognate |
P2527
|
FINISHED |
| Object | Julianne |
E343242
|
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: Julianne | Statement: [Julia, cognate, Julianne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julianne Context triple: [Julia, cognate, Julianne]
-
A.
Julianna
chosen
Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
-
B.
Julianne Phillips
Julianne Phillips is an American model and actress best known for her 1980s television and film work and for her high-profile marriage to musician Bruce Springsteen.
-
C.
Julianna Farrait
Julianna Farrait is best known as the wife of notorious Harlem drug trafficker Frank Lucas and for her involvement in his high-profile criminal lifestyle.
-
D.
Jacqueline
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
E.
Julianne Boyd
Julianne Boyd is an American theater director and producer best known as the founding artistic director of the Barrington Stage Company in Massachusetts.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec8e8b3481909617ca0e37f8a6d4 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52845684c8190b6f0676319a6fc3c |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:20 p.m.