Triple
T23290039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfront |
E589999
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Barry Fitzgerald |
—
|
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: Barry Fitzgerald | Statement: [Waterfront, starring, Barry Fitzgerald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Fitzgerald Context triple: [Waterfront, starring, Barry Fitzgerald]
-
A.
Barry Fitzgerald
chosen
Barry Fitzgerald was an Irish character actor best known for his prolific Hollywood career in the 1940s, including his Academy Award–winning performance in "Going My Way."
-
B.
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."
-
C.
Brian Gleeson
Brian Gleeson is an Irish actor known for his work in film and television, including roles in productions such as "Love/Hate," "Phantom Thread," and "The Bisexual."
-
D.
Niall Cusack
Niall Cusack is an actor known for his role in the British television film "The Girl in the Café."
-
E.
Pádraig Cusack
Pádraig Cusack is an Irish theatre producer and arts administrator known for his work with major UK and international theatre companies.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964a4c548190bda1e85b8d316e8a |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5:01 p.m.