Triple
T5156576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Gun (1955 film) |
E116324
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Rick Martin |
E488568
|
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: Rick Martin | Statement: [Top Gun (1955 film), mainCharacter, Rick Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Martin Context triple: [Top Gun (1955 film), mainCharacter, Rick Martin]
-
A.
Rick Martin
chosen
Rick Martin is the fictional protagonist of the 1955 aviation drama film "Top Gun," portrayed as a skilled and daring U.S. Air Force pilot.
-
B.
Ronald Mariano
Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
-
C.
Paul Merolla
Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
-
D.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
E.
John Avila
John Avila is an American bassist and record producer best known for his work with the new wave band Oingo Boingo during the 1980s.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79019c6481909641f173c5b3769a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed0123bc48190920f60fc29f64734 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.