Triple
T23492045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby’s Day Out |
E570701
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Gilbertine |
—
|
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: Gilbertine | Statement: [Baby’s Day Out, character, Gilbertine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilbertine Context triple: [Baby’s Day Out, character, Gilbertine]
-
A.
Gilbertine
chosen
Gilbertine is a feminine given name, often considered a variant of Gilbert, used in various European languages.
-
B.
Cristolienne
Cristolienne is the French term for a female inhabitant or native of the city of Créteil, located in the southeastern suburbs of Paris.
-
C.
Wycliffe
Wycliffe is a British television crime drama series centered on Detective Superintendent Charles Wycliffe as he investigates complex cases in Cornwall.
-
D.
Gilbert
Gilbert is a large impact crater on the Moon’s near side, located southeast of the prominent crater Mare Crisium.
-
E.
Gilbert
Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dc631c819099027e3a1c755a66 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.