Triple
T15732126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son of Zorn |
E381369
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Zorn |
E432098
|
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: Zorn | Statement: [Son of Zorn, protagonist, Zorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zorn Context triple: [Son of Zorn, protagonist, Zorn]
-
A.
Zorn
chosen
Zorn is a Swedish surname most famously associated with the painter and etcher Anders Zorn, a leading figure in late 19th- and early 20th-century art.
-
B.
Zorn
The Zorn is a river in northeastern France that flows through the Alsace region and joins the Moder before ultimately contributing to the Rhine basin.
-
C.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
D.
Zuehl
Zuehl is an unincorporated community in Texas, United States, known for its rural character and small-town atmosphere.
-
E.
Son of Zorn
Son of Zorn is a live-action/animated hybrid comedy television series that parodies sword-and-sorcery cartoons by following a barbarian warrior trying to reconnect with his family in suburban America.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9092e25c81909f86a580e78ff7ca |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:46 a.m.