Triple
T20856983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynthia Von Doom |
E513505
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cynthia |
—
|
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: Cynthia | Statement: [Cynthia Von Doom, givenName, Cynthia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia Context triple: [Cynthia Von Doom, givenName, Cynthia]
-
A.
Cynthia
chosen
Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
-
B.
Cynthia
Cynthia is a popular and powerful Pokémon Champion from the Sinnoh region, known for her strong team and recurring appearances across various Pokémon games and media.
-
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.
Cindy
Cindy is a fictional character from the action film "Commando," appearing as part of the movie’s high-stakes rescue storyline.
-
E.
Cindy
Cindy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Cynthia or Lucinda.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a93ea881909b9f80a9bd0605b6 |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.