Triple
T6832076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Channing |
E157160
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Channing |
E171508
|
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: Channing | Statement: [Carol Channing, familyName, Channing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Channing Context triple: [Carol Channing, familyName, 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.
Chandler
Chandler is a rapidly growing suburban city in the Phoenix metropolitan area known for its technology industry and family-friendly communities.
-
E.
Chandler
Chandler is an English occupational surname historically given to people who made or sold candles.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62992908190996efab71cbf70f0 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723fab0a4819080d7cd9cb4dddd33 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.