Triple
T2134286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Skoll |
E46613
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Participant Media |
E177062
|
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: Participant Media | Statement: [Jeff Skoll, notableWork, Participant Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Participant Media Context triple: [Jeff Skoll, notableWork, Participant Media]
-
A.
Participant Media
chosen
Participant Media is an American film and television production company known for creating socially conscious, issue-driven content that aims to inspire activism and change.
-
B.
Participant Productions
Participant Productions is a film production company known for creating socially conscious, issue-driven movies and documentaries.
-
C.
1+1 Media Group
1+1 Media Group is a major Ukrainian media holding company that operates television channels, digital platforms, and other media assets.
-
D.
Intermedia Films
Intermedia Films is an independent film production company known for financing and producing a range of international feature films.
-
E.
Katalyst Media
Katalyst Media is a production company co-founded by actor and entrepreneur Ashton Kutcher, known for creating television, film, and digital media content.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbba24004819091ffb9440e8615fa |
completed | March 7, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d3275481909c8d74ca7c037ddd |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.