Triple
T5711636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawn Powell |
E125922
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | The Happy Island |
E541615
|
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: The Happy Island | Statement: [Dawn Powell, wrote, The Happy Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Happy Island Context triple: [Dawn Powell, wrote, The Happy Island]
-
A.
The Happy Island
chosen
The Happy Island is a satirical novel by American writer Dawn Powell, known for its sharp social observation and witty portrayal of mid-20th-century urban life.
-
B.
Fairy Island
Fairy Island is a small, picturesque island located within Lake Mahopac in New York, known for its scenic and tranquil setting.
-
C.
Happy Isles
Happy Isles is a scenic area in Yosemite National Park that serves as a popular trailhead and access point to the park’s high-country hiking routes.
-
D.
Infant Island
Infant Island is a fictional, remote Pacific island in the Godzilla and Mothra film series, known as the sacred home of the giant moth kaiju Mothra and her tiny priestesses.
-
E.
Pie Island
Pie Island is a large, rugged island in Lake Superior near Thunder Bay, Ontario, known for its striking cliffs, hiking opportunities, and scenic views of the surrounding lake and coastline.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b386a08190bd2738d93861edc2 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dedffd481909fafd916190b016f |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:46 p.m.