Triple
T13677081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Sterne |
E327904
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Rabelais |
E172937
|
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: Rabelais | Statement: [Laurence Sterne, influencedBy, Rabelais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rabelais Context triple: [Laurence Sterne, influencedBy, Rabelais]
-
A.
François Rabelais
chosen
François Rabelais was a French Renaissance writer, physician, and humanist best known for his satirical and exuberant novels about Gargantua and Pantagruel.
-
B.
Honoré d’Urfé
Honoré d’Urfé was a French novelist and nobleman best known for his influential early 17th-century pastoral romance "L'Astrée."
-
C.
La Fontaine
La Fontaine is a residential neighborhood in the municipality of Chêne-Bougeries, located in the canton of Geneva, Switzerland.
-
D.
Gargantua
Gargantua is a satirical Renaissance novel by François Rabelais that follows the absurd, larger-than-life adventures and education of the giant Gargantua.
-
E.
Gargantua
Gargantua is a famous satirical lithograph by Honoré Daumier that caricatures King Louis-Philippe as a gluttonous giant consuming the wealth of the French people.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794405a38819085f38170c56564f2 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.