Triple
T10334167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyndia |
E242954
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Cyndi |
E390554
|
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: Cyndi | Statement: [Cyndia, relatedName, Cyndi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyndi Context triple: [Cyndia, relatedName, Cyndi]
-
A.
Cynda Williams
Cynda Williams is an American actress and singer best known for her breakout role in the film "Mo' Better Blues" and subsequent work in independent cinema and television.
-
B.
Cindy
Cindy is a fictional character from the action film "Commando," appearing as part of the movie’s high-stakes rescue storyline.
-
C.
Cindy
Cindy is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls.
-
D.
Cyndi Grecco
chosen
Cyndi Grecco is an American singer best known for performing the upbeat 1970s television theme song "Making Our Dreams Come True" from the sitcom Laverne & Shirley.
-
E.
Cyndi Thomson
Cyndi Thomson is an American country music singer best known for her early-2000s hit single "What I Really Meant to Say" and her brief but successful recording career.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75054515081908240f985f8b6e2df |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:53 a.m.