Triple
T17427150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIN Corporation |
E423768
|
entity |
| Predicate | hasOwner |
P347
|
FINISHED |
| Object | Bruce Gordon |
—
|
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: Bruce Gordon | Statement: [WIN Corporation, hasOwner, Bruce Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Gordon Context triple: [WIN Corporation, hasOwner, Bruce Gordon]
-
A.
Bruce Gordon
chosen
Bruce Gordon is an Australian businessman and media proprietor best known as the owner of regional television network WIN Corporation.
-
B.
Donald Gordon
Donald Gordon was an actor known for appearing in mid-20th-century films, including the romantic comedy "No Time for Love."
-
C.
Donald Gordon
Donald Gordon was a prominent South African-born businessman and philanthropist known for founding the financial services group Liberty Life and for his major contributions to the arts and education.
-
D.
Christopher Gordon
Christopher Gordon is an Australian composer best known for his orchestral film scores, including his acclaimed work on "Master and Commander: The Far Side of the World."
-
E.
Gordon Dines
Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fcbf54819091babed0b9b05716 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.