Triple
T1686195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atia Balba Caesonia |
E36446
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | gens Julia |
E92860
|
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: gens Julia | Statement: [Atia Balba Caesonia, family, gens Julia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gens Julia Context triple: [Atia Balba Caesonia, family, gens Julia]
-
A.
Julia
Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
-
B.
Julia
chosen
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
-
C.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
D.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
-
E.
Jan
Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6293c368819094ab0f615e418647 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71c344fc8190926db828cf09550e |
completed | March 8, 2026, 12:55 p.m. |
Created at: March 4, 2026, 7:29 p.m.