Triple
T10334147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinthia |
E242953
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Cynthia (given name) |
E48557
|
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: Cynthia (given name) | Statement: [Cinthia, associatedWith, Cynthia (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia (given name) Context triple: [Cinthia, associatedWith, Cynthia (given name)]
-
A.
Cynthia
chosen
Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
-
B.
Cindy
Cindy is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls.
-
C.
Cindy
Cindy is a fictional character from the action film "Commando," appearing as part of the movie’s high-stakes rescue storyline.
-
D.
"Cindy"
"Cindy" is a song featured in the 1959 Western film "Rio Bravo," performed in a memorable musical scene by the film’s characters.
-
E.
Madelyn
Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-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_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_69d794fe4fe481908e4c343ceeb5de25 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:53 a.m.