Triple
T3490432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nero Padilla |
E73715
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object | Byz Lats |
E362990
|
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: Byz Lats | Statement: [Nero Padilla, conflictWith, Byz Lats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byz Lats Context triple: [Nero Padilla, conflictWith, Byz Lats]
-
A.
Byz Lats
chosen
Byz Lats is a fictional Los Angeles street gang featured in the television series "Sons of Anarchy."
-
B.
Plaka
Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
-
C.
Byzacena
Byzacena was a Roman province in North Africa, centered in what is now central and eastern Tunisia, known for its agricultural productivity and important cities such as Hadrumetum.
-
D.
Vasi-vari
Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
-
E.
Dilios
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e6511b08190b67c353df53599b5 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.