Triple
T23290041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfront |
E589999
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | George Bruce |
—
|
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: George Bruce | Statement: [Waterfront, screenwriter, George Bruce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Bruce Context triple: [Waterfront, screenwriter, George Bruce]
-
A.
George Bruce
chosen
George Bruce was a Hollywood screenwriter active in the mid-20th century, known for scripting adventure and action films.
-
B.
Andrew Bruce
Andrew Bruce is a renowned British theatrical sound designer known for his influential work on major West End and Broadway productions.
-
C.
John Bruce
John Bruce was the short-lived son and heir of Robert the Bruce, King of Scots, and his queen consort Elizabeth de Burgh.
-
D.
James Gillespie
James Gillespie was a 19th-century Texas figure, likely a politician or military leader, honored as the namesake of Gillespie County.
-
E.
Alexander Scott
Alexander Scott was a 16th-century Scottish makar (poet) known for his courtly and satirical verse in the Scots language.
- 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.