Triple
T13413367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 16th Academy Awards |
E320145
|
entity |
| Predicate | bestSpecialEffectsWinner |
P36455
|
FINISHED |
| Object |
Crash Dive
Crash Dive is a 1943 World War II submarine film notable for its technically impressive visual effects and naval combat sequences.
|
E1038918
|
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: Crash Dive | Statement: [16th Academy Awards, bestSpecialEffectsWinner, Crash Dive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crash Dive Context triple: [16th Academy Awards, bestSpecialEffectsWinner, Crash Dive]
-
A.
Crashout
Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
-
B.
The Crash
The Crash is a 1928 American drama film, best known as a silent-era production featuring actor William Janney.
-
C.
The Dive
The Dive is a science fiction film produced by James Cameron’s Lightstorm Entertainment, known for its deep-sea adventure and cutting-edge underwater visual effects.
-
D.
Dive
"Dive" is a sensual R&B song by American singer-songwriter Victoria Monét, known for its intimate lyrics, lush production, and vocal performance.
-
E.
The Plunge
The Plunge is a prominent water slide attraction at the Splash Works water park in Canada's Wonderland.
- 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: Crash Dive Triple: [16th Academy Awards, bestSpecialEffectsWinner, Crash Dive]
Generated description
Crash Dive is a 1943 World War II submarine film notable for its technically impressive visual effects and naval combat sequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crash Dive Target entity description: Crash Dive is a 1943 World War II submarine film notable for its technically impressive visual effects and naval combat sequences.
-
A.
Crashout
Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
-
B.
The Crash
The Crash is a 1928 American drama film, best known as a silent-era production featuring actor William Janney.
-
C.
The Dive
The Dive is a science fiction film produced by James Cameron’s Lightstorm Entertainment, known for its deep-sea adventure and cutting-edge underwater visual effects.
-
D.
Dive
"Dive" is a sensual R&B song by American singer-songwriter Victoria Monét, known for its intimate lyrics, lush production, and vocal performance.
-
E.
The Plunge
The Plunge is a prominent water slide attraction at the Splash Works water park in Canada's Wonderland.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73195e4d88190ad356d0e3e18d34f |
completed | May 3, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73220ffc08190bfb1b89757efd606 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:35 p.m.