Triple
T13309555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Lenox Remond |
E317024
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Remond |
E1003990
|
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: Remond | Statement: [Charles Lenox Remond, familyName, Remond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remond Context triple: [Charles Lenox Remond, familyName, Remond]
-
A.
Remond
chosen
Remond is the middle name of Charles Remond Douglass, an African American civil rights activist, soldier, and son of famed abolitionist Frederick Douglass.
-
B.
Remm
Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
-
C.
Remick
Remick is a surname most notably associated with American actress Lee Remick, known for her work in film and television during the mid-20th century.
-
D.
Remick
Remick is the middle name of Morrison R. Waite, the seventh Chief Justice of the United States Supreme Court.
-
E.
Remer
Remer is a German surname most notably associated with Otto Ernst Remer, a controversial Wehrmacht officer during World War II.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e58cc48190afb46e8394227ab5 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.