Triple
T17185893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Could Live in Hope |
E417107
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Sea
"Sea" is a track by the American slowcore band Low, featured on their 1994 debut album *I Could Live in Hope*.
|
E1256353
|
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: Sea | Statement: [I Could Live in Hope, hasTrack, Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea Context triple: [I Could Live in Hope, hasTrack, Sea]
-
A.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
-
B.
The Sea
"The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
-
C.
The Sea
The Sea is a 1973 darkly comic play by British dramatist Edward Bond that satirically explores class, grief, and social order in a small Edwardian seaside town.
-
D.
The Sea
The Sea is a 1946 novel by French author Henri Bosco that explores themes of childhood, imagination, and the mysterious power of nature along the Mediterranean coast.
-
E.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
- 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: Sea Triple: [I Could Live in Hope, hasTrack, Sea]
Generated description
"Sea" is a track by the American slowcore band Low, featured on their 1994 debut album *I Could Live in Hope*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sea Target entity description: "Sea" is a track by the American slowcore band Low, featured on their 1994 debut album *I Could Live in Hope*.
-
A.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
-
B.
The Sea
"The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
-
C.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
-
D.
The Sea
"The Sea" is a 2013 British-Irish drama film adaptation of John Banville’s novel, following a grieving man who returns to a seaside town from his childhood to confront his past.
-
E.
The Sea
The Sea is a 1973 darkly comic play by British dramatist Edward Bond that satirically explores class, grief, and social order in a small Edwardian seaside town.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016184e0c0819099320b32bc471cad |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162692420819097b99a71ec470861 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.