Triple
T11251868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daud |
E266337
|
entity |
| Predicate | kills |
P19780
|
FINISHED |
| Object | Jessamine Kaldwin |
E915993
|
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: Jessamine Kaldwin | Statement: [Daud, kills, Jessamine Kaldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessamine Kaldwin Context triple: [Daud, kills, Jessamine Kaldwin]
-
A.
Jessamine Kaldwin
chosen
Jessamine Kaldwin is the Empress of the Isles in the Dishonored video game series, known for her compassionate rule and her close relationship with royal protector Corvo Attano.
-
B.
Amariah Faulkner
Amariah Faulkner is a Canadian actress and voice performer known for her roles in animated television series and films.
-
C.
Clementine Vaughn
Clementine Vaughn is the daughter of German supermodel and actress Claudia Schiffer.
-
D.
Skylene Montgomery
Skylene Montgomery is an American nurse and former beauty pageant contestant best known as the wife of NFL coach Sean Payton.
-
E.
Daisy Coulam
Daisy Coulam is a British television writer and producer known for creating and writing crime and drama series for UK television.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509f7d404819086cf5d062edbaff5 |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:31 p.m.