Triple
T16580552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guilty |
E402815
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Katherine Kelly |
E84833
|
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: Katherine Kelly | Statement: [The Guilty, castMember, Katherine Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katherine Kelly Context triple: [The Guilty, castMember, Katherine Kelly]
-
A.
Katherine Kelly
chosen
Katherine Kelly is a British actress best known for her roles in television dramas such as "Coronation Street" and "Mr Selfridge."
-
B.
Kathryn Kelly
Kathryn Kelly was an American criminal best known for partnering with her husband, gangster George "Machine Gun" Kelly, in high-profile kidnappings during the early 1930s.
-
C.
Celeste O’Connor
Celeste O’Connor is an American actor known for their breakout role in the supernatural comedy film "Ghostbusters: Afterlife" and subsequent work in genre and teen-focused movies.
-
D.
Kathleen Kelly
Kathleen Kelly is the charming independent bookstore owner portrayed by Meg Ryan in the romantic comedy film "You've Got Mail."
-
E.
Kathleen Kelly
Kathleen Kelly is the daughter of Kansas Governor Laura Kelly.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35960834c819080eed0c9f32b881d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a275910819086b49ce741045ecf |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:16 a.m.