Triple
T5465278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Margeson |
E122692
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Skyline |
E231121
|
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: Skyline | Statement: [Matthew Margeson, notableWork, Skyline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skyline Context triple: [Matthew Margeson, notableWork, Skyline]
-
A.
Skyline
chosen
"Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
-
B.
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.
-
C.
Skyscraper
"Skyscraper" is a power ballad best known as a hit single by Demi Lovato, co-written and produced by songwriter Toby Gad.
-
D.
Blue City
Blue City is a popular nickname for Jodhpur, a historic city in Rajasthan, India, famed for its blue-painted houses and hilltop Mehrangarh Fort.
-
E.
Lights of New York
Lights of New York is a 1928 American crime film historically recognized as the first all-talking feature-length movie.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd920590b481909b92091678ff1414 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf488b64d081908163edfff6484f5c |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:08 p.m.