Triple
T2089729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Faison |
E32639
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Skyline
"Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
|
E231121
|
NE FINISHED |
How this triple was built (4 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: [Donald Faison, notableWork, Skyline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skyline Context triple: [Donald Faison, notableWork, Skyline]
-
A.
Skyscraper
"Skyscraper" is a power ballad best known as a hit single by Demi Lovato, co-written and produced by songwriter Toby Gad.
-
B.
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.
-
C.
Lights of New York
Lights of New York is a 1928 American crime film historically recognized as the first all-talking feature-length movie.
-
D.
Maximum City
Maximum City is a popular nickname for Mumbai that reflects its vast scale, intense energy, and extreme contrasts in wealth, culture, and daily life.
-
E.
Big Blue
Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Skyline Triple: [Donald Faison, notableWork, Skyline]
Generated description
"Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skyline Target entity description: "Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
-
A.
Skyscraper
"Skyscraper" is a power ballad best known as a hit single by Demi Lovato, co-written and produced by songwriter Toby Gad.
-
B.
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.
-
C.
Lights of New York
Lights of New York is a 1928 American crime film historically recognized as the first all-talking feature-length movie.
-
D.
Maximum City
Maximum City is a popular nickname for Mumbai that reflects its vast scale, intense energy, and extreme contrasts in wealth, culture, and daily life.
-
E.
Big Blue
Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
- F. None of above. chosen
Provenance (5 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba730a5c8190a85be72149574d79 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2744d8108190b551a970956914c4 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae27c0cc40819093dcbcb34e12ada2 |
completed | March 9, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2819ec2481908652e9165d1a6636 |
completed | March 9, 2026, 1:53 a.m. |
Created at: March 4, 2026, 7:43 p.m.