Triple
T6449247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gunfighter |
E139821
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jean Parker |
E408688
|
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: Jean Parker | Statement: [The Gunfighter, starring, Jean Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Parker Context triple: [The Gunfighter, starring, Jean Parker]
-
A.
Jean Parker
chosen
Jean Parker was an American film and stage actress best known for her roles in 1930s Hollywood productions, including the adaptation of "Little Women."
-
B.
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.
-
C.
Jennifer Parker
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.
-
D.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
-
E.
April Wheeler
April Wheeler is a disillusioned 1950s suburban housewife whose frustrated ambitions and deteriorating marriage drive the central tragedy of Richard Yates’s novel "Revolutionary Road."
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b1a61c81908610264c098d25b0 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a303b960819082981f0efbdce014 |
completed | March 28, 2026, 9:44 a.m. |
Created at: March 22, 2026, 4:47 p.m.