Triple
T12254485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charmaine Hooper |
E292063
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Charmaine |
E467730
|
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: Charmaine | Statement: [Charmaine Hooper, givenName, Charmaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charmaine Context triple: [Charmaine Hooper, givenName, Charmaine]
-
A.
Charmaine
chosen
Charmaine is a flirtatious French innkeeper’s daughter who becomes the central romantic interest and source of rivalry between two soldiers in the World War I play and film "What Price Glory."
-
B.
Charlaine
Charlaine is the given first name of C. Vivian Stringer, a prominent American women's college basketball coach.
-
C.
Chantelle
Chantelle is a French lingerie and underwear brand known for its high-quality, fashion-forward designs and craftsmanship.
-
D.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
E.
Renee
Renee is a feminine given name of French origin, commonly used in English- and French-speaking countries.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc9dd5081908880061d52351850 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abdc5988190a19104385f54fb06 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.