Triple
T14502010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Origin of Love |
E340164
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Underwater |
E336706
|
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: Underwater | Statement: [The Origin of Love, hasPart, Underwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Underwater Context triple: [The Origin of Love, hasPart, Underwater]
-
A.
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.
-
B.
Underwater!
Underwater! is a 1955 adventure film starring Jane Russell that follows a perilous treasure-hunting expedition in the Caribbean.
-
C.
Unterwasser
Unterwasser is a small Swiss village in the canton of St. Gallen, known for its alpine scenery and winter sports opportunities.
-
D.
"Underwater"
chosen
"Underwater" is a song by Finnish singer-songwriter Mika known for its emotive vocals and lush, dramatic pop production.
-
E.
Deep Sea
Deep Sea is an aquarium exhibit showcasing the mysterious life forms and extreme environments found in the ocean’s deepest regions.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9b6f7481908b7eb76226a93545 |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.