Triple
T15160695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panerai |
E362205
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object |
Submersible
Submersible is a line of professional-grade diving watches produced by the luxury Italian-Swiss watchmaker Panerai.
|
E1139756
|
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: Submersible | Statement: [Panerai, brandOf, Submersible]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Submersible Context triple: [Panerai, brandOf, Submersible]
-
A.
Unterwasser
Unterwasser is a small Swiss village in the canton of St. Gallen, known for its alpine scenery and winter sports opportunities.
-
B.
Underwater
Underwater is a 2020 science fiction horror film starring Kristen Stewart as a mechanical engineer struggling to survive after an earthquake devastates a deep-sea research facility.
-
C.
Deep Sea
Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
-
D.
Train Under Water
"Train Under Water" is a song by the American indie rock band Bright Eyes from their 2005 album "I'm Wide Awake, It's Morning."
-
E.
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.
- 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: Submersible Triple: [Panerai, brandOf, Submersible]
Generated description
Submersible is a line of professional-grade diving watches produced by the luxury Italian-Swiss watchmaker Panerai.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Submersible Target entity description: Submersible is a line of professional-grade diving watches produced by the luxury Italian-Swiss watchmaker Panerai.
-
A.
Unterwasser
Unterwasser is a small Swiss village in the canton of St. Gallen, known for its alpine scenery and winter sports opportunities.
-
B.
Underwater
Underwater is a 2020 science fiction horror film starring Kristen Stewart as a mechanical engineer struggling to survive after an earthquake devastates a deep-sea research facility.
-
C.
Deep Sea
Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
-
D.
Train Under Water
"Train Under Water" is a song by the American indie rock band Bright Eyes from their 2005 album "I'm Wide Awake, It's Morning."
-
E.
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.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffc94e48190844e226c245a9ce3 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec1b27c5c8190b3b81cd10b11e973 |
completed | May 9, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec24105a48190a698de2b380f4dbc |
completed | May 9, 2026, 5:12 a.m. |
Created at: April 10, 2026, 3:08 a.m.