Triple
T20927809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julus |
E515390
|
entity |
| Predicate | house |
P1505
|
FINISHED |
| Object | gens Julia |
—
|
NE NERFINISHED |
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: [Julus, house, gens Julia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gens Julia Context triple: [Julus, house, gens Julia]
-
A.
gens Julia
chosen
The gens Julia was one of ancient Rome’s most prominent patrician families, traditionally claiming descent from the Trojan hero Aeneas and including figures such as Julius Caesar and Augustus.
-
B.
Being Julia
Being Julia is a 2004 comedy-drama film in which Annette Bening delivers a critically acclaimed performance as an aging stage actress navigating love, ambition, and revenge in 1930s London theatre.
-
C.
Julia Says
"Julia Says" is a mid-1990s pop ballad by Scottish band Wet Wet Wet, known for its melodic hooks and emotive vocals.
-
D.
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.
-
E.
Julia
Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f652c3188190ace50415b3b30b83 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.