Triple
T20001032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | great white shark (Jaws) |
E494325
|
entity |
| Predicate | kills |
P19780
|
FINISHED |
| Object |
Ben Gardner
Ben Gardner is a local fisherman in the 1975 film "Jaws" whose off-screen death helps reveal the deadly threat posed by the great white shark.
|
E1406393
|
NE FINISHED |
How this triple was built (4 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: Ben Gardner | Statement: [great white shark (Jaws), kills, Ben Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Gardner Context triple: [great white shark (Jaws), kills, Ben Gardner]
-
A.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
B.
Rob Gardner
Rob Gardner is an American drummer best known as a founding member of the hard rock band L.A. Guns.
-
C.
David Gardner
David Gardner is the young boy protagonist of the 1986 science fiction horror film "Invaders from Mars," who discovers that his town is being covertly taken over by alien invaders.
-
D.
Wes Gardner
Wes Gardner is a fictional character from the television series "Scream Queens," portrayed by actor Oliver Hudson.
-
E.
Derek Gardner
Derek Gardner was a British motorsport engineer best known for designing innovative Formula One cars, including the six-wheeled Tyrrell P34.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ben Gardner Triple: [great white shark (Jaws), kills, Ben Gardner]
Generated description
Ben Gardner is a local fisherman in the 1975 film "Jaws" whose off-screen death helps reveal the deadly threat posed by the great white shark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Gardner Target entity description: Ben Gardner is a local fisherman in the 1975 film "Jaws" whose off-screen death helps reveal the deadly threat posed by the great white shark.
-
A.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
B.
Rob Gardner
Rob Gardner is an American drummer best known as a founding member of the hard rock band L.A. Guns.
-
C.
David Gardner
David Gardner is the young boy protagonist of the 1986 science fiction horror film "Invaders from Mars," who discovers that his town is being covertly taken over by alien invaders.
-
D.
Wes Gardner
Wes Gardner is a fictional character from the television series "Scream Queens," portrayed by actor Oliver Hudson.
-
E.
Derek Gardner
Derek Gardner was a British motorsport engineer best known for designing innovative Formula One cars, including the six-wheeled Tyrrell P34.
- F. None of above. chosen
Provenance (5 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a222908190b88e1d11cb1b7ee3 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08050bb1fc81908b9ce173babdd256 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a08095e44b48190b0528932c5c5fa62 |
completed | May 16, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080acea27c8190832bde1cd1a2bcbd |
completed | May 16, 2026, 6:12 a.m. |
Created at: April 11, 2026, 3:32 p.m.