Triple
T15441550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennedie |
E369912
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Kennedi |
E75523
|
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: Kennedi | Statement: [Kennedie, hasSpellingVariant, Kennedi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennedi Context triple: [Kennedie, hasSpellingVariant, Kennedi]
-
A.
Kennedy
chosen
Kennedy is a given name shared by various notable individuals across fields such as politics, music, and entertainment.
-
B.
Kennedy
Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
-
C.
Kennedy
Kennedy is a vast rural federal electoral division in Queensland, Australia, known for encompassing remote outback communities and mining towns.
-
D.
Page Kennedy
Page Kennedy is an American actor and comedian best known for his roles in television series like "Desperate Housewives" and "Weeds" and in films such as the shark thriller "The Meg."
-
E.
Merna Kennedy
Merna Kennedy was an American actress and dancer best known for her role opposite Charlie Chaplin in the silent film era.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365337c481909b9f9a376cf9462e |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:21 a.m.