Triple
T13305841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Couperus |
E316933
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Iskander |
E38043
|
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: Iskander | Statement: [Louis Couperus, notableWork, Iskander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iskander Context triple: [Louis Couperus, notableWork, Iskander]
-
A.
Eskandar
chosen
Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
-
B.
Soslan
Soslan is a prominent hero of the Caucasian Nart sagas, known for his extraordinary strength, invulnerability, and central role in many of the epic legends.
-
C.
Rustam
Rustam is a town and administrative settlement located within the Mardan District of Khyber Pakhtunkhwa, Pakistan.
-
D.
Beni Ensar
Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
-
E.
Bardiya
Bardiya was a son of the Achaemenid ruler Cyrus the Great who briefly and controversially claimed the Persian throne in the late 6th century BCE.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.