Triple
T16716708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendie Malick |
E406242
|
entity |
| Predicate | film |
P9968
|
FINISHED |
| Object | Adventureland |
E349318
|
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: Adventureland | Statement: [Wendie Malick, film, Adventureland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adventureland Context triple: [Wendie Malick, film, Adventureland]
-
A.
Adventureland
Adventureland is a themed land found in several Disney parks, designed to evoke exotic, tropical locales through attractions, lush landscaping, and immersive storytelling.
-
B.
Adventureland
chosen
Adventureland is a 2009 coming-of-age comedy-drama film set in a 1980s amusement park, known for its blend of humor and bittersweet romance.
-
C.
Adventure Land
Adventure Land is a themed area within Europa-Park that immerses visitors in adventurous, exploration-inspired settings and attractions.
-
D.
Adventureland amusement park
Adventureland amusement park is a popular Midwestern theme park featuring a wide variety of rides, roller coasters, and family attractions.
-
E.
Discoveryland
Discoveryland is a retro-futuristic themed land at Disneyland Paris inspired by the visionary works of Jules Verne and classic science fiction.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38656b66081909f2c2a8971c45aee |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d3da12881909296926edde5b723 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.