Triple
T13261669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alain |
E315811
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Alen |
E467247
|
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: Alen | Statement: [Alain, hasVariant, Alen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alen Context triple: [Alain, hasVariant, Alen]
-
A.
Alen
chosen
Alen is a given name and surname used in various cultures, often considered a variant of the name Allen or Alan.
-
B.
Elezen
Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
-
C.
Alijó
Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
-
D.
Alla
Alla is a feminine given name commonly used in Russian and other Slavic cultures.
-
E.
Alvik
Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901b380881909e6520fbb6811084 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.