Triple
T8841442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skrillex |
E210397
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Recess |
E584093
|
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: Recess | Statement: [Skrillex, notableWork, Recess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recess Context triple: [Skrillex, notableWork, Recess]
-
A.
Recess
chosen
Recess is an American animated television series that follows a group of elementary school friends navigating the complex social world of the playground.
-
B.
Rugrats
Rugrats is an animated television series that follows a group of adventurous toddlers as they explore the world from their imaginative, childlike perspective.
-
C.
Rascal
Rascal is the furry, family-friendly mascot of the West Michigan Whitecaps minor league baseball team, entertaining fans at games and community events.
-
D.
Mallrats
Mallrats is a 1995 cult comedy film written and directed by Kevin Smith that follows two slacker friends killing time at a New Jersey shopping mall after being dumped by their girlfriends.
-
E.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60876c6c8190b1b490e447e1cf4b |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89a41a2c8190b69e5a1b157f9325 |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.