Triple
T5063421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Lane |
E114082
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Daria |
E275651
|
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: Daria | Statement: [Jane Lane, appearsIn, Daria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daria Context triple: [Jane Lane, appearsIn, Daria]
-
A.
Daria
chosen
Daria is an animated television series centered on the intelligent, sarcastic teenager Daria Morgendorffer as she navigates high school life with deadpan wit and social commentary.
-
B.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
C.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
D.
Nadine
"Nadine" is a classic 1964 rock and roll song by Chuck Berry, known for its vivid storytelling and driving guitar riff.
-
E.
Janet
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea497fed0819098746fd8917f041c |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.