Triple
T17538758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἀναλυτικὰ ὕστερα |
E427128
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Organon |
—
|
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: Organon | Statement: [Ἀναλυτικὰ ὕστερα, partOf, Organon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Organon Context triple: [Ἀναλυτικὰ ὕστερα, partOf, Organon]
-
A.
Organon
chosen
Organon is the traditional collection of Aristotle’s works on logic, which laid the foundation for formal logical theory in Western philosophy.
-
B.
Organon
Organon is a global pharmaceutical company specializing in women's health, biosimilars, and established medicines, formed as a spin-off from Merck & Co.
-
C.
Tetrabiblos
Tetrabiblos is an influential ancient astrological treatise by Claudius Ptolemy that systematizes and rationalizes Hellenistic astrology.
-
D.
Propaedeumata Aphoristica
Propaedeumata Aphoristica is a 16th-century work by John Dee that presents his influential ideas on mathematics, astronomy, and natural philosophy in a series of aphoristic propositions.
-
E.
Aristotle's Organon
Aristotle's Organon is the classical collection of his logical works that laid the foundation for formal logic in Western philosophy.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536ec5f48190acff6671712d40c7 |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.