Triple
T20063566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clair Engle |
E499547
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clair |
—
|
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: Clair | Statement: [Clair Engle, givenName, Clair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clair Context triple: [Clair Engle, givenName, Clair]
-
A.
Clair
chosen
Clair is a feminine given name most famously associated with the character Clair Huxtable from the television series "The Cosby Show."
-
B.
Clair
Clair is a small Canadian community in New Brunswick known for its location on the Saint John River opposite Fort Kent, Maine, and its role as a local border crossing point.
-
C.
Clarinda
Clarinda was the pseudonym of Agnes Maclehose, a Scottish woman best known for her romantic correspondence with poet Robert Burns.
-
D.
Clarinda
Clarinda is a small city in southwestern Iowa known for its agricultural community and historic Midwestern charm.
-
E.
Clara
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66377b6b48190a0a37279f285123e |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.