Triple
T1627120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LL Cool J |
E35169
|
entity |
| Predicate | filmWork |
P9968
|
FINISHED |
| Object |
Deep Blue Sea
Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
|
E184603
|
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 Blue Sea | Statement: [LL Cool J, filmWork, Deep Blue Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Blue Sea Context triple: [LL Cool J, filmWork, Deep Blue Sea]
-
A.
Saw Sea
The Saw Sea is a body of water located off the western part of Timor in Southeast Asia.
-
B.
The Abyss
The Abyss is a 1989 science fiction film directed by James Cameron that follows a deep-sea oil drilling team encountering mysterious underwater phenomena.
-
C.
Waterworld
Waterworld is a 1995 post-apocalyptic science fiction film set on a flooded Earth, best known for its ambitious water-based production, high budget, and starring Kevin Costner as a mutant drifter.
-
D.
Aquarium
Aquarium is an MBTA subway station in downtown Boston serving the Blue Line near the New England Aquarium and Boston’s waterfront.
-
E.
Aquarium
The Aquarium at the Memphis Zoo is a dedicated exhibit showcasing a diverse collection of aquatic animals and ecosystems for education and public viewing.
- 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 Blue Sea Triple: [LL Cool J, filmWork, Deep Blue Sea]
Generated description
Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deep Blue Sea Target entity description: Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
-
A.
Saw Sea
The Saw Sea is a body of water located off the western part of Timor in Southeast Asia.
-
B.
The Abyss
The Abyss is a 1989 science fiction film directed by James Cameron that follows a deep-sea oil drilling team encountering mysterious underwater phenomena.
-
C.
Waterworld
Waterworld is a 1995 post-apocalyptic science fiction film set on a flooded Earth, best known for its ambitious water-based production, high budget, and starring Kevin Costner as a mutant drifter.
-
D.
Aquarium
Aquarium is an MBTA subway station in downtown Boston serving the Blue Line near the New England Aquarium and Boston’s waterfront.
-
E.
Aquarium
The Aquarium at the Memphis Zoo is a dedicated exhibit showcasing a diverse collection of aquatic animals and ecosystems for education and public viewing.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61df32a88190a7e823a77bdcc84a |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d12e808190a1319b1c87bcd22e |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad59fede48819084a163ff73fbc1da |
completed | March 8, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5a85071c8190bab5cefcd918bb8d |
completed | March 8, 2026, 11:16 a.m. |
Created at: March 4, 2026, 7:28 p.m.