Triple
T711286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Curse of Capistrano |
E14211
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Zorro |
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 | Statement: [The Curse of Capistrano, mainCharacter, Zorro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zorro Context triple: [The Curse of Capistrano, mainCharacter, Zorro]
-
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.
The Mark of Zorro
The Mark of Zorro is a 1920 silent swashbuckler film that popularized the masked vigilante hero Zorro and helped establish Douglas Fairbanks as a major action star.
-
C.
The Mark of Zorro
The Mark of Zorro is a classic 1940 swashbuckler film in which Tyrone Power portrays the masked vigilante Zorro, a role that became one of his most iconic performances.
-
D.
Viva Villa!
Viva Villa! is a 1934 biographical adventure film about Mexican revolutionary Pancho Villa, noted for its blend of action, drama, and historical spectacle.
-
E.
Léon
Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55c99fc8190941c5fd18551792a |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5851548190adeacb2feb35a1cb |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.