Triple
T17218694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tornado |
E417917
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Zorro films |
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 films | Statement: [Tornado, appearsIn, Zorro films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zorro films Context triple: [Tornado, appearsIn, Zorro films]
-
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 III
Zorro III is a 32-bit expansion bus architecture used in high-end Amiga computers to provide fast, memory-mapped peripheral connectivity.
-
E.
The New Zorro
The New Zorro is a 1990s television series that revives the legendary masked vigilante Zorro in a swashbuckling, family-friendly adventure format.
- 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_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.