Triple
T12779036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess Joanna Zaria of Orange-Nassau |
E305453
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Joann |
E274853
|
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: Joann | Statement: [Countess Joanna Zaria of Orange-Nassau, givenName, Joann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joann Context triple: [Countess Joanna Zaria of Orange-Nassau, givenName, Joann]
-
A.
Joanne
chosen
Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
B.
Bobbi
Bobbi is the given name of Bobbi Kristina Brown, the late daughter of singers Whitney Houston and Bobby Brown.
-
C.
Joanna
Joanna is a feminine given name used in various cultures, often associated with forms of the name John and shared by many notable historical and contemporary figures.
-
D.
Joanna
Joanna, also known as Joan, Lady of Wales, was the illegitimate daughter of King John of England and the wife of Llywelyn the Great, Prince of Gwynedd.
-
E.
Joanna
Joanna is a woman mentioned in the New Testament as one of Jesus’ followers who witnessed his resurrection.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.