Triple
T22255411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo & the Bunnymen |
E550082
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Seven Seas |
E336467
|
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: Seven Seas | Statement: [Echo & the Bunnymen, hasSong, Seven Seas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Seas Context triple: [Echo & the Bunnymen, hasSong, Seven Seas]
-
A.
Seven Seas
Seven Seas is the popular nickname for the Douglas DC-7C, a long-range variant of the DC-7 airliner designed for intercontinental flights.
-
B.
Seven Seas
chosen
Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
-
C.
The Silver Seas
The Silver Seas is an American pop-rock band known for its melodic, harmony-rich songs and literate, retro-influenced songwriting.
-
D.
High Seas
High Seas is a Spanish mystery drama television series set on a luxury ocean liner in the 1940s, following a string of murders and dark family secrets uncovered during its transatlantic voyages.
-
E.
Way of the Sea
Way of the Sea is an ancient trade and military route along the eastern Mediterranean coast that connected Egypt with Syria and Mesopotamia.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c1d70881908df47b0f818c0022 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab66482388190899f9016951e7ad4 |
completed | May 18, 2026, 6:49 a.m. |
Created at: April 16, 2026, 8:39 p.m.