Triple
T11947095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alanna |
E284326
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Alannah |
E284352
|
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: Alannah | Statement: [Alanna, hasVariant, Alannah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alannah Context triple: [Alanna, hasVariant, Alannah]
-
A.
Alana
chosen
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
-
B.
Elana
Elana is a Polish football club based in the city of Toruń.
-
C.
Alonnah
Alonnah is a small coastal township on Bruny Island in Tasmania, Australia, serving as one of the island’s main settlements and service centers.
-
D.
Allaine
The Allaine is a river in the Jura region of Switzerland and France that flows through towns such as Porrentruy before joining the Doubs.
-
E.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471ba7fd88190909596e6e01e8714 |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.