Triple
T9085681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felicia |
E217747
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Felicity |
E137254
|
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: Felicity | Statement: [Felicia, hasVariant, Felicity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felicity Context triple: [Felicia, hasVariant, Felicity]
-
A.
Felicity
chosen
Felicity is an American television drama series that follows a young woman's personal and academic journey through college life in New York City.
-
B.
Felicity Rivers
Felicity Rivers is a character from Enid Blyton’s Malory Towers series, known as the younger sister of main protagonist Darrell Rivers and later a pupil at the same boarding school.
-
C.
Felicity Rose Hadley Jones
Felicity Rose Hadley Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
-
D.
Felicity Shagwell
Felicity Shagwell is a fictional American CIA agent and Austin Powers’ glamorous, flirtatious partner in the spy-comedy film "Austin Powers: The Spy Who Shagged Me."
-
E.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960d0b008190b0e9e61fac45101d |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe40823481909a5c4b82bd24293a |
completed | April 3, 2026, 5:52 p.m. |
Created at: March 30, 2026, 7:13 p.m.