Triple
T4789576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Francis-Bruce |
E106568
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Deep Blue Sea |
E184603
|
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: Deep Blue Sea | Statement: [Richard Francis-Bruce, notableWork, Deep Blue Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Blue Sea Context triple: [Richard Francis-Bruce, notableWork, Deep Blue Sea]
-
A.
Deep Blue Sea
chosen
Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
-
B.
Saw Sea
The Saw Sea is a body of water located off the western part of Timor in Southeast Asia.
-
C.
Die Haie
Die Haie is the popular nickname of the Kölner Haie, a professional ice hockey team based in Cologne, Germany.
-
D.
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.
-
E.
River Monsters
River Monsters is a popular Animal Planet documentary series in which angler and biologist Jeremy Wade investigates and catches large, elusive freshwater creatures often blamed for attacks on humans.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65db847081908f5456724a2bdc65 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43e504488190b55cd745f82e9897 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.