Triple
T16841902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Laverne |
E409432
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Kenickie |
E1237031
|
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: Kenickie | Statement: [Lauren Laverne, memberOf, Kenickie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenickie Context triple: [Lauren Laverne, memberOf, Kenickie]
-
A.
Kenickie
Kenickie is a tough, wisecracking member of the T-Birds gang and Danny Zuko’s best friend in the musical and film "Grease."
-
B.
Kenickie
chosen
Kenickie was a British indie rock band from Sunderland in the 1990s, known for their energetic punk-pop sound and witty, feminist-leaning lyrics.
-
C.
The Nick
The Nick is a film or television project recognized as a significant work in the career of editor Michelle Tesoro.
-
D.
Dee Dee Benkie
Dee Dee Benkie is an American political strategist, media personality, and actress who has appeared on various news programs and co-hosted radio shows.
-
E.
Heebie Jeebies
"Heebie Jeebies" is a 1926 jazz recording by Louis Armstrong and his Hot Five, famous for popularizing scat singing in mainstream jazz.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a3296c8190978c1809264f66e1 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.