Triple
T15805406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Stuart Boylan |
E383201
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Crash Dive |
E1038918
|
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: Crash Dive | Statement: [Malcolm Stuart Boylan, notableWork, Crash Dive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crash Dive Context triple: [Malcolm Stuart Boylan, notableWork, Crash Dive]
-
A.
Crash Dive
chosen
Crash Dive is a 1943 World War II submarine film notable for its technically impressive visual effects and naval combat sequences.
-
B.
Crashout
Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
-
C.
The Crash
The Crash is a 1928 American drama film, best known as a silent-era production featuring actor William Janney.
-
D.
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.
-
E.
Deep Sea Diver
"Deep Sea Diver" is a song by the American indie rock band Deerhunter from their album "Halcyon Digest."
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998d17648190b9f020632461965f |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.