Triple
T5569405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Goodes |
E145959
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Mel Goodes |
E145959
|
NE FINISHED |
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: Mel Goodes | Statement: [Mel Goodes, hasName, Mel Goodes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Goodes Context triple: [Mel Goodes, hasName, Mel Goodes]
-
A.
Mel Goodes
chosen
Mel Goodes is a Canadian business executive and philanthropist best known for his leadership in the pharmaceutical industry and his significant support of Queen’s University.
-
B.
Martin Boddey
Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
-
C.
Heywood Gould
Heywood Gould is an American screenwriter, director, and novelist known for writing films such as "The Boys from Brazil" and "Fort Apache, The Bronx."
-
D.
George Oatley
George Oatley was a British architect best known for designing prominent early 20th-century buildings in Bristol, England.
-
E.
Raymond Pilger
Raymond Pilger is an individual notable enough to be specifically cited as a bearer of the surname Pilger.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0204f0d288190b9d4884665ba9116 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028485ba081908565f7f852278cfc |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:36 p.m.