Triple
T5742476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ducsay |
E126647
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Deep Rising
Deep Rising is a 1998 action-horror film about mercenaries who encounter a deadly sea creature aboard a luxury cruise ship.
|
E543171
|
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: Deep Rising | Statement: [Bob Ducsay, notableWork, Deep Rising]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Rising Context triple: [Bob Ducsay, notableWork, Deep Rising]
-
A.
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.
-
B.
Terror Rise
Terror Rise is a notable geological feature associated with the Scotia Plate in the Southern Ocean region.
-
C.
Hidden Depths
Hidden Depths is an ocean-themed downloadable content expansion for Minecraft Dungeons that adds new underwater levels, enemies, and gear.
-
D.
Rapture
"Rapture" is a 1980 new wave and early hip hop–influenced song by the American band Blondie, notable for featuring one of the first rap verses to top the Billboard Hot 100.
-
E.
Rapture
Rapture is a play by British dramatist Lucy Kirkwood that explores contemporary social and political anxieties through darkly comic, character-driven drama.
- 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: Deep Rising Triple: [Bob Ducsay, notableWork, Deep Rising]
Generated description
Deep Rising is a 1998 action-horror film about mercenaries who encounter a deadly sea creature aboard a luxury cruise ship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deep Rising Target entity description: Deep Rising is a 1998 action-horror film about mercenaries who encounter a deadly sea creature aboard a luxury cruise ship.
-
A.
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.
-
B.
Terror Rise
Terror Rise is a notable geological feature associated with the Scotia Plate in the Southern Ocean region.
-
C.
Hidden Depths
Hidden Depths is an ocean-themed downloadable content expansion for Minecraft Dungeons that adds new underwater levels, enemies, and gear.
-
D.
Rapture
"Rapture" is a 1980 new wave and early hip hop–influenced song by the American band Blondie, notable for featuring one of the first rap verses to top the Billboard Hot 100.
-
E.
Rapture
Rapture is a play by British dramatist Lucy Kirkwood that explores contemporary social and political anxieties through darkly comic, character-driven drama.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025852a2c819080521e5b98c00bdc |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e1bfe4481908740aa20d55ec8f6 |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c08a2bc1b08190998a7e5eb8d6d6ac |
completed | March 23, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08a85b508819088464b97b6c9bb99 |
completed | March 23, 2026, 12:34 a.m. |
Created at: March 22, 2026, 3:48 p.m.