Triple
T21419073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cul-de-sac |
E528382
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jack MacGowran |
—
|
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: Jack MacGowran | Statement: [Cul-de-sac, stars, Jack MacGowran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack MacGowran Context triple: [Cul-de-sac, stars, Jack MacGowran]
-
A.
Jack MacGowran
chosen
Jack MacGowran was an Irish character actor known for his work in British and American films and for his acclaimed performances in Samuel Beckett’s plays.
-
B.
John Behan
John Behan is an Irish sculptor renowned for his powerful bronze works that often explore themes of history, migration, and national memory.
-
C.
Victor McLaglen
Victor McLaglen was an English-born actor best known for his tough, boisterous roles in early 20th-century Hollywood films, including his Oscar-winning performance in "The Informer."
-
D.
Cyril Cusack
Cyril Cusack was an acclaimed Irish stage and screen actor known for his prolific career in British and Irish cinema and theatre throughout the mid-20th century.
-
E.
Ned Dennehy
Ned Dennehy is an Irish character actor known for his distinctive supporting roles in film and television, including appearances in projects like "Peaky Blinders," "Good Omens," and "An Klondike."
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2ccddc08190b4f66fa6ccda41e2 |
completed | April 22, 2026, 11:36 a.m. |
Created at: April 16, 2026, 5:47 p.m.