Triple
T21866549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Four Aces |
E539896
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shangri-La |
—
|
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: Shangri-La | Statement: [The Four Aces, notableWork, Shangri-La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shangri-La Context triple: [The Four Aces, notableWork, Shangri-La]
-
A.
Shangri-La
chosen
Shangri-La is a famed recording studio in Malibu, California, known for hosting sessions by prominent rock and popular music artists.
-
B.
Shangri-La
Shangri-La is a fictional Himalayan utopia depicted as a hidden, peaceful, and eternally youthful paradise.
-
C.
Shangri-La Woods
Shangri-La Woods is a themed attraction area within the Happy Valley Shenzhen amusement park, designed to evoke a mystical, nature-filled fantasy world.
-
D.
Shangri-La City
Shangri-La City is a county-level city in northwestern Yunnan, China, known for its Tibetan cultural heritage, high-altitude landscapes, and role as a gateway to nearby national parks and Himalayan scenery.
-
E.
Shangri-La Suite
Shangri-La Suite is a 2016 indie crime drama film about a young couple on a cross-country road trip to assassinate Elvis Presley.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63f2ec48190956a3e99d8f98b1f |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.