Triple
T28983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Leonsis |
E577
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
SnagFilms
SnagFilms was a video-on-demand platform specializing in streaming independent films and documentaries online.
|
E2210
|
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: SnagFilms | Statement: [Ted Leonsis, founded, SnagFilms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SnagFilms Context triple: [Ted Leonsis, founded, SnagFilms]
-
A.
Project Xanadu
Project Xanadu is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, non-destructive, and bidirectionally linked document publishing system.
-
B.
Blades the Bruin
Blades the Bruin is the official anthropomorphic bear mascot of the NHL’s Boston Bruins, known for entertaining fans at games and team events.
-
C.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
D.
Vitaphone
Vitaphone was an early sound-on-disc motion picture system developed by Warner Bros. that played a key role in the transition from silent films to “talkies” in the late 1920s.
-
E.
Geeks Bearing Gifts
Geeks Bearing Gifts is a book by computing pioneer Ted Nelson that reflects on the history, philosophy, and future of digital media and information technology.
- 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: SnagFilms Triple: [Ted Leonsis, founded, SnagFilms]
Generated description
SnagFilms was a video-on-demand platform specializing in streaming independent films and documentaries online.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SnagFilms Target entity description: SnagFilms was a video-on-demand platform specializing in streaming independent films and documentaries online.
-
A.
Project Xanadu
Project Xanadu is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, non-destructive, and bidirectionally linked document publishing system.
-
B.
Blades the Bruin
Blades the Bruin is the official anthropomorphic bear mascot of the NHL’s Boston Bruins, known for entertaining fans at games and team events.
-
C.
SF
SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
-
D.
Vitaphone
Vitaphone was an early sound-on-disc motion picture system developed by Warner Bros. that played a key role in the transition from silent films to “talkies” in the late 1920s.
-
E.
Geeks Bearing Gifts
Geeks Bearing Gifts is a book by computing pioneer Ted Nelson that reflects on the history, philosophy, and future of digital media and information technology.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a248751fa88190992b6262a44b54f3 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e5d121c8190bf7bb88346dcc141 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24edff52081909ec669158900651c |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24f4a96288190981be6076e919262 |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.