Triple
T6438154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob’s Folly |
E129949
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Jacob Cerf |
E592681
|
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: Jacob Cerf | Statement: [Jacob’s Folly, hasCharacter, Jacob Cerf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Cerf Context triple: [Jacob’s Folly, hasCharacter, Jacob Cerf]
-
A.
Jacob Cerf
chosen
Jacob Cerf is the reincarnated 18th-century French Jewish peddler and narrator at the heart of Rebecca Miller’s novel "Jacob’s Folly," whose perspective drives the book’s exploration of identity, faith, and modern life.
-
B.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
C.
Leo Feist
Leo Feist was an American music publisher and entrepreneur who became a prominent figure in the early 20th-century sheet music and popular song industry.
-
D.
Stephen Hamel
Stephen Hamel is a film producer known for his work on science fiction and genre films, including the space-set romance thriller "Passengers."
-
E.
David Janollari
David Janollari is an American television producer and executive known for his work on acclaimed series such as Six Feet Under.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06965a5d48190a5860da9e22dc6e0 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc1ccdc8190a171281a846173c0 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:45 p.m.