Triple
T23323905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleasantville |
E591234
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Jennifer |
—
|
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: Jennifer | Statement: [Pleasantville, mainCharacter, Jennifer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Context triple: [Pleasantville, mainCharacter, Jennifer]
-
A.
Jennifer
chosen
Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
-
B.
Jennifer
"Jennifer" is the viral R&B-pop single by American singer Trinidad Cardona that gained widespread attention online and launched his music career.
-
C.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
D.
Jane
Jane is the protagonist of the film "The World’s Greatest Athlete," around whom the story’s comedic sports adventures revolve.
-
E.
Jane
Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978731b0819090f92ef768f2a749 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:08 p.m.