Triple
T15516079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Olsson |
E368836
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Kenickie |
E669792
|
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: [Sandy Olsson, associatedWith, Kenickie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenickie Context triple: [Sandy Olsson, associatedWith, Kenickie]
-
A.
Kenickie
chosen
Kenickie is a tough, wisecracking member of the T-Birds gang and Danny Zuko’s best friend in the musical and film "Grease."
-
B.
The Nick
The Nick is a film or television project recognized as a significant work in the career of editor Michelle Tesoro.
-
C.
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.
-
D.
Heebie Jeebies
"Heebie Jeebies" is a 1926 jazz recording by Louis Armstrong and his Hot Five, famous for popularizing scat singing in mainstream jazz.
-
E.
The Kenny
The Kenny is the affectionate nickname for Kenilworth Road, the historic home stadium of Luton Town Football Club in England.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5111648190a61fc87170b0d93c |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:02 a.m.