Triple
T10469439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Enfield |
E246885
|
entity |
| Predicate | createdCharacter |
P2004
|
FINISHED |
| Object | Kevin the Teenager |
E864509
|
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: Kevin the Teenager | Statement: [Harry Enfield, createdCharacter, Kevin the Teenager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin the Teenager Context triple: [Harry Enfield, createdCharacter, Kevin the Teenager]
-
A.
Kevin the Teenager
chosen
Kevin the Teenager is a famously sulky, moody adolescent character from British sketch comedy, known for his dramatic transformation from polite child to stereotypical grumpy teen.
-
B.
Kiddo
Kiddo is a music producer known for working on the track "Elevation."
-
C.
Kevin (Minion)
Kevin is one of the main Minion characters from the Despicable Me franchise, known for his tall stature, leadership role, and prominent appearance in the Minions (2015) film.
-
D.
Kwes the Child
Kwes the Child is a music producer known for his work on projects such as Gravitas.
-
E.
Kenneth
Kenneth is the full given name of American documentary filmmaker Ken Burns, renowned for his in-depth historical films and distinctive storytelling style.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dac584081909a79bc300b9338c8 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:20 p.m.