Triple
T21229550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyline (film score) |
E523170
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Skyline (2010 film) |
—
|
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: Skyline (2010 film) | Statement: [Skyline (film score), basedOn, Skyline (2010 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skyline (2010 film) Context triple: [Skyline (film score), basedOn, Skyline (2010 film)]
-
A.
Skyline
Skyline is a famous high-speed, blind-crest section of the Mount Panorama Circuit at the Bathurst 1000, known for its dramatic elevation change and challenging corner sequence.
-
B.
Skyline
Skyline is Honolulu’s elevated rail transit system providing rapid public transportation across parts of Oʻahu, Hawaiʻi.
-
C.
Skyline
Skyline is a residential and marina community located on Fidalgo Island in Washington State, known for its waterfront homes and boating access.
-
D.
Skyline
chosen
"Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
-
E.
Skyline
Skyline is a themed area within the Six Flags Discovery Kingdom amusement park featuring rides, attractions, and park amenities.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ae60408190a9480b27d109b8fc |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:44 p.m.