Triple
T22404291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teresa |
E553842
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Theresa |
E75291
|
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: Theresa | Statement: [Teresa, hasVariant, Theresa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresa Context triple: [Teresa, hasVariant, Theresa]
-
A.
Theresa
chosen
Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
-
B.
Teressa
Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
-
C.
Theresa Alice Fair
Theresa Alice Fair was a member of the wealthy Fair family, known primarily as the daughter of Comstock Lode magnate and U.S. Senator James Graham Fair.
-
D.
Theresa Potter
Theresa Potter was the wife of Charles Cripps, 1st Baron Parmoor, a British lawyer and politician who served as Lord President of the Council in the early 20th century.
-
E.
Juliana
Juliana is a feminine given name of Latin origin, commonly used in various European and Latin American countries.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b6762c8190991fc14c5ca8e609 |
completed | April 29, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9cfabe081908d6a001bcfe5372c |
completed | May 18, 2026, 10:28 a.m. |
Created at: April 16, 2026, 8:46 p.m.