Triple
T20104756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehud Yonay |
E490137
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Top Guns |
—
|
NE NERFINISHED |
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: Top Guns | Statement: [Ehud Yonay, wrote, Top Guns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top Guns Context triple: [Ehud Yonay, wrote, Top Guns]
-
A.
Top Gun
chosen
Top Gun is a 1986 American action drama film starring Tom Cruise as a hotshot Navy fighter pilot, renowned for its high-octane aerial sequences, iconic soundtrack, and lasting impact on pop culture.
-
B.
Top Gun
Top Gun is a 1955 American Western film starring Sterling Hayden as a notorious gunslinger who returns to his hometown to warn of an impending outlaw attack.
-
C.
Lethal Weapon
Lethal Weapon is a 1987 action-comedy film that popularized the buddy-cop genre through its mix of intense action, dark humor, and the dynamic partnership of Mel Gibson and Danny Glover.
-
D.
Little Guns
"Little Guns" is a song featured on the album "Good for Your Soul" by the American new wave band Oingo Boingo.
-
E.
Rahmbo
Rahmbo is the popular nickname of Spanish professional golfer Jon Rahm, highlighting his powerful, aggressive style of play on the course.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666daf73c819089f02ca6faa2c283 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.