Triple
T11051503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Braffet |
E261263
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Naomi King |
E99456
|
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: Naomi King | Statement: [Kelly Braffet, relative, Naomi King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi King Context triple: [Kelly Braffet, relative, Naomi King]
-
A.
Naomi King
chosen
Naomi King is the daughter of renowned American horror novelist Stephen King.
-
B.
Naomi Nelson
Naomi Nelson is an American filmmaker and producer best known for her work in television and her marriage to actor and stunt performer Johnny Knoxville.
-
C.
Naomi Turner
Naomi Turner is a brave and resourceful young girl who serves as one of Princess Elena’s closest friends and advisors in the animated series "Elena of Avalor."
-
D.
Naomi Long
Naomi Long is a Northern Irish politician and leader of the Alliance Party, known for her centrist, cross-community stance and prominent roles in both local and national politics.
-
E.
Naomi Geraghty
Naomi Geraghty is a film editor known for her work on feature films such as the comedy-drama "The Upside."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798698bd88190aa97afd37f55e19f |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa146b148190a87205e542cc718f |
completed | April 18, 2026, 3:58 p.m. |
Created at: April 8, 2026, 9:26 p.m.