Triple
T8309877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Cady |
E194563
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daniel Cady |
E194563
|
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: Daniel Cady | Statement: [Daniel Cady, name, Daniel Cady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Cady Context triple: [Daniel Cady, name, Daniel Cady]
-
A.
Daniel Cady
chosen
Daniel Cady was a prominent 19th-century American lawyer, judge, and politician from New York, best known today as the father of women's rights leader Elizabeth Cady Stanton.
-
B.
John Jay Shipherd
John Jay Shipherd was a 19th-century American Presbyterian minister and educational reformer best known for co-founding Oberlin College and promoting progressive ideals such as coeducation and abolitionism.
-
C.
William Cushing
William Cushing was an early Associate Justice of the United States Supreme Court who served from its inception in 1789 and played a key role in shaping foundational federal judicial authority.
-
D.
Hal G. Evarts
Hal G. Evarts was an American writer known for his Western-themed stories and screenplays in early Hollywood cinema.
-
E.
Oliver Wendell Douglas
Oliver Wendell Douglas is the city-slicker lawyer-turned-farmer protagonist of the classic American sitcom "Green Acres."
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95665390819089c8becad018cf51 |
completed | April 1, 2026, 10 p.m. |
Created at: March 30, 2026, 5:54 p.m.