Triple
T12255257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Henry de Young |
E292083
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Michael Henry de Young |
E292083
|
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 Henry de Young | Statement: [Michael Henry de Young, fullName, Michael Henry de Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Henry de Young Context triple: [Michael Henry de Young, fullName, Michael Henry de Young]
-
A.
Michael Henry de Young
chosen
Michael Henry de Young was a prominent American newspaper publisher and co-founder of the San Francisco Chronicle who became a major civic leader and arts patron in San Francisco.
-
B.
Charles de Young
Charles de Young was a 19th-century American newspaper publisher and co-founder of the San Francisco Chronicle.
-
C.
William Allen Young
William Allen Young is an American actor and director best known for his television roles on series such as "Moesha" and "Code Black."
-
D.
Gene Milford
Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
-
E.
William Lanteau
William Lanteau was an American character actor known for his supporting roles in film and television, including a notable appearance in the drama "On Golden Pond."
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc9dd5081908880061d52351850 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.