Triple
T2408311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix |
E50326
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Felicity |
E217747
|
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: [Felix, hasFeminineForm, Felicity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felicity Context triple: [Felix, hasFeminineForm, Felicity]
-
A.
Felicity
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.
Felicia
chosen
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
-
C.
Annalise
Annalise is a minor but pivotal character in John le Carré’s espionage novel "Smiley’s People," involved in the intricate web of intelligence and personal relationships surrounding George Smiley.
-
D.
Alison
Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
-
E.
Sophia Pitt
Sophia Pitt was an 18th-century English gentlewoman known primarily as the wife of Royal Navy admiral Sir George Pocock.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc92408308190ad2d331ebee71d15 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3eba9d08190a2c63e590e08b4df |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:58 p.m.