Triple
T18475403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin J. O'Connor |
E451417
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Deep Rising |
—
|
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: Deep Rising | Statement: [Kevin J. O'Connor, notableWork, Deep Rising]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Rising Context triple: [Kevin J. O'Connor, notableWork, Deep Rising]
-
A.
Deep Rising
chosen
Deep Rising is a 1998 action-horror film about mercenaries who encounter a deadly sea creature aboard a luxury cruise ship.
-
B.
The Descent
The Descent is a 2005 British horror film about a group of women who become trapped and hunted by creatures in an uncharted cave system.
-
C.
Terror Rise
Terror Rise is a notable geological feature associated with the Scotia Plate in the Southern Ocean region.
-
D.
Into the Abyss
Into the Abyss is a 2011 documentary film by Werner Herzog that explores a Texas triple homicide case and the human realities surrounding capital punishment.
-
E.
Hidden Depths
Hidden Depths is an ocean-themed downloadable content expansion for Minecraft Dungeons that adds new underwater levels, enemies, and gear.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53062f67881909620c4e8fc00eb7d |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:34 a.m.