Triple
T7437478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julián |
E171653
|
entity |
| Predicate | hasEquivalentName |
P3889
|
FINISHED |
| Object | Julius |
E520583
|
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: Julius | Statement: [Julián, hasEquivalentName, Julius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julius Context triple: [Julián, hasEquivalentName, Julius]
-
A.
Julius
Julius is the family name (nomen) of the ancient Roman Julian clan, most famously borne by figures such as Gaius Julius Caesar and later adopted by emperors like Tiberius as part of their imperial identity.
-
B.
Julius
Julius is the birth name of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
-
C.
Julius
Julius is the given first name of Canadian ice hockey Hall of Famer Frank "The Pembroke Peach" Nighbor.
-
D.
Julius
chosen
Julius is a masculine given name of ancient Roman origin, derived from the family name Julius and historically associated with figures such as Julius Caesar.
-
E.
Julius
Julius is the given first name of the German mathematician Richard Dedekind, known for his foundational work in abstract algebra and number theory.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f349399c8190b46d5882ece2e73a |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8278670bc819095bdbcc0837b6716 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:13 p.m.