Triple
T4390006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven and Hell |
E99338
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Island |
E105377
|
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: Island | Statement: [Heaven and Hell, relatedWork, Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Island Context triple: [Heaven and Hell, relatedWork, Island]
-
A.
Island
chosen
Island is Aldous Huxley’s final novel, a utopian counterpart to Brave New World that portrays an idealized, spiritually enlightened society on the fictional island of Pala.
-
B.
Island
Island is a prominent record label known for signing and promoting influential artists across rock, pop, and reggae music.
-
C.
Isla
Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
-
D.
Sea of Islands
Sea of Islands is the English translation of the name of the Aral Sea, historically a vast endorheic lake in Central Asia once known for its numerous islands.
-
E.
Isola
Isola is a small alpine commune in southeastern France known for its ski resort Isola 2000 and proximity to the Italian border.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35282cb2c8190856da20bb87e88ff |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e52d63c08190bc98c090cfe0ff1c |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:19 p.m.