Triple
T9222488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Kook |
E221595
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Shannon Kook |
E221595
|
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: Shannon Kook | Statement: [Shannon Kook, name, Shannon Kook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shannon Kook Context triple: [Shannon Kook, name, Shannon Kook]
-
A.
Shannon Kook
chosen
Shannon Kook is a South African-Canadian actor best known for his roles in horror films like The Conjuring and the sci-fi series The 100.
-
B.
Shannon Kenny
Shannon Kenny is an Australian-born actress known for her work in film and television, including roles in projects like "Seventh Heaven" and "The Invisible Man."
-
C.
Shannon Lee
Shannon Lee is an American actress, martial artist, and businesswoman, best known as the daughter of Bruce Lee and for overseeing her father's legacy through the Bruce Lee Foundation.
-
D.
Shannon Larkin
Shannon Larkin is an American drummer best known for his powerful, hard-hitting work with the rock band Godsmack.
-
E.
Shannon McIntosh
Shannon McIntosh is an American film producer known for her frequent collaborations with Quentin Tarantino, including work on major films such as "Once Upon a Time in Hollywood."
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda76e3648190af9e24381db7679a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d066384a908190b833d4ae5b3c5074 |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:28 p.m.