Triple
T19062703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Farnaby |
E466573
|
entity |
| Predicate | workTitle |
P24259
|
FINISHED |
| Object | Island |
—
|
NE NERFINISHED |
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: [Will Farnaby, workTitle, Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Island Context triple: [Will Farnaby, workTitle, Island]
-
A.
Island
Island is a prominent record label known for signing and promoting influential artists across rock, pop, and reggae music.
-
B.
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.
-
C.
Ilha
Ilha is a locality or geographic feature whose name appears within the toponym "Ilha do Zeca" in the Cidade Universitária area.
-
D.
U Island
U Island is a small island located among the northwestern islands of South Korea, known for its coastal scenery and maritime setting.
-
E.
Isla
Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e195ac048190a57b57e585d022d4 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.