Triple
T15624972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Station |
E375655
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Kerry Condon |
E1044335
|
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: Kerry Condon | Statement: [The Last Station, starred, Kerry Condon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerry Condon Context triple: [The Last Station, starred, Kerry Condon]
-
A.
Kerry Condon
chosen
Kerry Condon is an Irish actress known for her acclaimed film and television work, including her role in the dark comedy-drama "The Banshees of Inisherin" and her voice and motion-capture performance as F.R.I.D.A.Y. in the Marvel Cinematic Universe.
-
B.
Kate Nelligan
Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
-
C.
Lois O’Connor
Lois O’Connor was the wife of acclaimed American stage and film actor Jason Robards.
-
D.
Crista Flanagan
Crista Flanagan is an American actress and comedian best known for her work on the sketch series MADtv and appearances in parody films.
-
E.
Tara Conway
Tara Conway is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3f65dc8190ac94db1d4d53d77f |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.