Triple
T17621735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connor |
E429723
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object | Darla |
—
|
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: Darla | Statement: [Connor, hasParent, Darla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darla Context triple: [Connor, hasParent, Darla]
-
A.
Darla
chosen
Darla is a central child character from the classic "Our Gang" (also known as "The Little Rascals") comedy shorts, often portrayed as the charming object of the boys’ affections.
-
B.
Darlene
Darlene is a fictional character portrayed by actress Dominique Fishback, known from her work in film and television dramas.
-
C.
Darlene
Darlene is an American actress best known for her role as the housebound mother in the film "What's Eating Gilbert Grape."
-
D.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
-
E.
Carla
Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46db98c54819088dadec9f6bcc559 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 10, 2026, 5:51 a.m.