Triple
T10624786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ever Grade |
E250294
|
entity |
| Predicate | sisterShipOf |
P3142
|
FINISHED |
| Object | Ever Gentle |
E250295
|
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: Ever Gentle | Statement: [Ever Grade, sisterShipOf, Ever Gentle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ever Gentle Context triple: [Ever Grade, sisterShipOf, Ever Gentle]
-
A.
Ever Gentle
chosen
Ever Gentle is a large Evergreen Marine-operated container ship belonging to the same class as the famously wedged Suez Canal vessel Ever Given.
-
B.
You Gentle Me
"You Gentle Me" is a song featured on the 1974 pop album *Wrap Around Joy* by singer-songwriter Carole King.
-
C.
I Gentle O
"I Gentle O" is a popular Nigerian hip-hop track by rapper Naeto C, known for its catchy hook and contribution to his rise in the Afrobeats and hip-hop scene.
-
D.
A Certain Softness
"A Certain Softness" is a gentle, bossa nova–influenced love song by Paul McCartney, noted for its intimate acoustic arrangement and romantic lyrics.
-
E.
A Gentle Wind
"A Gentle Wind" is a musical composition by Japanese composer Hikari Ōe, known for its delicate, lyrical style and its role in bringing wider attention to his work.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7fe9fc81908b3b8d1dc06a829c |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b9a27f881908e451bfa6c118af4 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:53 p.m.