Triple
T5042361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Gun (1955 film) |
E113573
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jim Hart |
E67634
|
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: Jim Hart | Statement: [Top Gun (1955 film), character, Jim Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Hart Context triple: [Top Gun (1955 film), character, Jim Hart]
-
A.
Jim Hart
chosen
Jim Hart is a former American football quarterback best known for his long tenure with the St. Louis Cardinals in the NFL during the 1960s and 1970s.
-
B.
Steve Hartnett
Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
-
C.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
D.
Jere Shea
Jere Shea is an American actor best known for his work in television and theater, including a prominent role in the crime drama series "City on a Hill."
-
E.
Stephen Heard
Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c8414288190bf53a40033aa70ea |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.