Triple
T16423877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael W. Lodge |
E398888
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael W. Lodge |
E398888
|
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: Michael W. Lodge | Statement: [Michael W. Lodge, name, Michael W. Lodge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael W. Lodge Context triple: [Michael W. Lodge, name, Michael W. Lodge]
-
A.
Michael W. Lodge
chosen
Michael W. Lodge is a British international lawyer and diplomat who serves as Secretary-General of the International Seabed Authority, overseeing the regulation of deep seabed mineral resources beyond national jurisdiction.
-
B.
Andrew W. Bogue
Andrew W. Bogue was a United States federal judge recognized for his service on the bench, particularly in South Dakota.
-
C.
Anthony W. England
Anthony W. England is a former NASA astronaut and geophysicist who flew as a mission specialist on the Space Shuttle.
-
D.
David L. Appleyard
David L. Appleyard is a linguist and scholar known for his research and documentation of Ethiopian Semitic and related languages.
-
E.
Michael C. Gwynne
Michael C. Gwynne is an American actor known for his character roles in film and television, including a part in the crime thriller "The Last of the Finest."
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f911b88190b19de52a1f700af8 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180bf3d308190b4965d57fe327a52 |
completed | May 11, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:09 a.m.