Triple
T13758923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morrison R. Waite |
E330547
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Remick |
E330547
|
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: Remick | Statement: [Morrison R. Waite, hasMiddleName, Remick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remick Context triple: [Morrison R. Waite, hasMiddleName, Remick]
-
A.
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.
-
B.
Remick
chosen
Remick is the middle name of Morrison R. Waite, the seventh Chief Justice of the United States Supreme Court.
-
C.
Le Willis
Le Willis is the original French title of Giacomo Puccini’s early one-act opera-ballet better known as Le Villi.
-
D.
Regardie
Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
-
E.
Remm
Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0223ab9081909db05334860405e0 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a85dfa6881908da90886db4aa1bb |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:09 p.m.