Triple
T23290052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfront |
E589999
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Walter Connolly |
—
|
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: Walter Connolly | Statement: [Waterfront, hasCastMember, Walter Connolly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Connolly Context triple: [Waterfront, hasCastMember, Walter Connolly]
-
A.
Walter Connolly
chosen
Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
-
B.
Walter Paterson
Walter Paterson was an actor known for his role in the classic radio adventure series "I Love a Mystery."
-
C.
J. M. Macdonnell
J. M. Macdonnell was a Canadian academic and administrator who served as a chancellor at Carleton University.
-
D.
Douglas Clifton Brown
Douglas Clifton Brown was a British Conservative politician who served as Speaker of the House of Commons during the Second World War and the early postwar period.
-
E.
Raymond Greenwood
Raymond Greenwood is a central character in Fyodor Dostoevsky’s novella "White Nights," portrayed as a lonely, idealistic dreamer whose intense inner life contrasts with his isolation from society.
- 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.