Triple
T20427570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl in the Café |
E501044
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Niall Cusack |
—
|
NE NERFINISHED |
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: Niall Cusack | Statement: [The Girl in the Café, hasCastMember, Niall Cusack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niall Cusack Context triple: [The Girl in the Café, hasCastMember, Niall Cusack]
-
A.
Niall Cusack
chosen
Niall Cusack is an actor known for his role in the British television film "The Girl in the Café."
-
B.
Dermot Crowley
Dermot Crowley is an Irish actor best known for his role as DSU Martin Schenk in the British crime drama series "Luther."
-
C.
Pádraig Cusack
Pádraig Cusack is an Irish theatre producer and arts administrator known for his work with major UK and international theatre companies.
-
D.
Donal Óg Cusack
Donal Óg Cusack is a renowned Irish hurler and former Cork goalkeeper, noted for his multiple All-Ireland titles and influential role both on and off the field.
-
E.
Brian Connolly
Brian Connolly was a Scottish singer best known as the lead vocalist of the 1970s glam rock band The Sweet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba9700481909fa23493f98095d1 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:31 a.m.