Triple
T8165545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Moabdar |
E190682
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Zadig |
E36749
|
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: Zadig | Statement: [King Moabdar, appearsIn, Zadig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zadig Context triple: [King Moabdar, appearsIn, Zadig]
-
A.
Zadig
chosen
Zadig is a philosophical novella by Voltaire that follows the trials of a wise and virtuous Babylonian man to satirize society, religion, and the nature of fate.
-
B.
La Réjouissance
La Réjouissance is a jubilant, celebratory movement from George Frideric Handel’s orchestral suite Music for the Royal Fireworks, known for its triumphant, dance-like character.
-
C.
La Chevelure
La Chevelure is a poem by Charles Baudelaire, celebrated for its sensual evocation of a lover’s hair and often associated with his muse Jeanne Duval.
-
D.
Monsieur le Comte
Monsieur le Comte is the traditional French honorific used to address a man holding the noble title of count.
-
E.
Le Curieux
Le Curieux is a satirical poetic work by the French dramatist and poet Jean-Baptiste Rousseau.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466698108190ba6aa625e9182b2a |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced4e6efc8190a74aea4ab213298b |
completed | April 1, 2026, 10:02 a.m. |
Created at: March 30, 2026, 5:38 p.m.