Triple
T11736932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Morgenthau Jr. |
E279051
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Josephine Sykes |
E279051
|
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: Josephine Sykes | Statement: [Henry Morgenthau Jr., mother, Josephine Sykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josephine Sykes Context triple: [Henry Morgenthau Jr., mother, Josephine Sykes]
-
A.
Josephine Sykes
chosen
Josephine Sykes was the mother of Henry Morgenthau Jr., the U.S. Secretary of the Treasury under President Franklin D. Roosevelt.
-
B.
Josephine Owen
Josephine Owen was the wife of influential American psychologist and scientific editor James McKeen Cattell.
-
C.
Josephine Lloyd
Josephine Lloyd is an individual known professionally as Josie Lloyd, likely recognized for work or public presence under that name.
-
D.
Jeanne Fisher
Jeanne Fisher is best known as the wife of John Ehrlichman, a key domestic affairs adviser to U.S. President Richard Nixon during the Watergate era.
-
E.
Mary Ellis
Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0901a6ed481909054ddd581935ac4 |
completed | April 28, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:41 p.m.