Triple
T14621877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julianna |
E343242
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Julius |
E879855
|
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: [Julianna, relatedName, Julius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julius Context triple: [Julianna, relatedName, Julius]
-
A.
Julius
Julius is the first given name of J. Robert Oppenheimer, the American theoretical physicist known as the "father of the atomic bomb."
-
B.
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.
-
C.
Julius
Julius is the given first name of Canadian ice hockey Hall of Famer Frank "The Pembroke Peach" Nighbor.
-
D.
Julius
Julius is the given name of Jule Styne, the renowned Broadway and film composer behind classic musicals such as "Gypsy" and "Funny Girl."
-
E.
Julius
chosen
Julius is the frugal, hard-working father of Chris in the sitcom "Everybody Hates Chris," known for his strict budgeting and multiple jobs to support his family.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0763ca081909fa8bcbdc46f2fac |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:25 a.m.