Triple
T10360050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Parker |
E244108
|
entity |
| Predicate | hasFullName |
P16
|
FINISHED |
| Object | Jennifer Parker |
E244108
|
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: Jennifer Parker | Statement: [Jennifer Parker, hasFullName, Jennifer Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Parker Context triple: [Jennifer Parker, hasFullName, Jennifer Parker]
-
A.
Jennifer Parker
chosen
Jennifer Parker is Marty McFly’s girlfriend in the Back to the Future film series, appearing as a key supporting character across its time-travel adventures.
-
B.
Jean Parker
Jean Parker was an American film and stage actress best known for her roles in 1930s Hollywood productions, including the adaptation of "Little Women."
-
C.
Carol Parker
Carol Parker is best known as the wife of Marlon Jackson, a member of the famed Jackson family and former singer of The Jackson 5.
-
D.
Christie Parker
Christie Parker is a fictional character played by actress Jennifer Crystal Foley, best known from her work in American television.
-
E.
Joy Parker
Joy Parker was the wife of acclaimed English actor Paul Scofield, with whom she shared a long marriage and family life.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e64109881908c42a4fbcfd057be |
completed | April 10, 2026, 4:36 a.m. |
Created at: April 6, 2026, 11:59 a.m.