Triple
T17218696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tornado |
E417917
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | Zorro franchise |
E84559
|
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: Zorro franchise | Statement: [Tornado, fictionalUniverse, Zorro franchise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zorro franchise Context triple: [Tornado, fictionalUniverse, Zorro franchise]
-
A.
Zorro
chosen
Zorro is a masked, sword-wielding vigilante hero of early California, known for defending the oppressed and leaving his trademark "Z" mark.
-
B.
Zorro
Zorro is a novel by Italian author Margaret Mazzantini, known for its intense psychological depth and exploration of complex human relationships.
-
C.
The Legend of Zorro
The Legend of Zorro is a 2005 swashbuckling action-adventure film that continues the story of the masked vigilante Zorro as he balances heroism with family life in mid-19th-century California.
-
D.
Zorro and Son
Zorro and Son is a short-lived 1983 American television sitcom that humorously continues the adventures of the legendary masked hero through his bumbling son.
-
E.
Zorro III
Zorro III is a 32-bit expansion bus architecture used in high-end Amiga computers to provide fast, memory-mapped peripheral connectivity.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01793cfaf08190bff9a6efe01d5bea |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:38 a.m.