Triple
T19407338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Channing Moore |
E485495
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Channing |
—
|
NE NERFINISHED |
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: Channing | Statement: [Richard Channing Moore, middleName, Channing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Channing Context triple: [Richard Channing Moore, middleName, Channing]
-
A.
Channing
chosen
Channing is a surname most notably associated with several prominent American intellectuals, clergy, and public figures from the 18th and 19th centuries.
-
B.
Chaville
Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
-
C.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
D.
Leland
Leland is a residential neighborhood located within the city of Compton, California.
-
E.
Chandler
Chandler is a rapidly growing suburban city in the Phoenix metropolitan area known for its technology industry and family-friendly communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257bad0c819088dd7729b6a36a94 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.