Triple
T11328930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road to El Dorado |
E268293
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tzekel-Kan
Tzekel-Kan is the fanatical high priest and primary antagonist in the animated adventure film "The Road to El Dorado."
|
E919433
|
NE FINISHED |
How this triple was built (4 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: Tzekel-Kan | Statement: [The Road to El Dorado, mainCharacter, Tzekel-Kan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tzekel-Kan Context triple: [The Road to El Dorado, mainCharacter, Tzekel-Kan]
-
A.
Kheperkara
Kheperkara is the throne name of the ancient Egyptian pharaoh Senusret I of the Twelfth Dynasty.
-
B.
Kha-khau-Ra
Kha-khau-Ra is the throne name (praenomen) of the ancient Egyptian pharaoh Mycerinus, a ruler of the Fourth Dynasty best known for his pyramid at Giza.
-
C.
Dankaur
Dankaur is a town in the Indian state of Uttar Pradesh, situated within the rapidly developing National Capital Region near Delhi.
-
D.
Kebechet
Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
-
E.
Anpu
Anpu is the ancient Egyptian name for Anubis, the jackal-headed god associated with mummification and the protection of the dead.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tzekel-Kan Triple: [The Road to El Dorado, mainCharacter, Tzekel-Kan]
Generated description
Tzekel-Kan is the fanatical high priest and primary antagonist in the animated adventure film "The Road to El Dorado."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tzekel-Kan Target entity description: Tzekel-Kan is the fanatical high priest and primary antagonist in the animated adventure film "The Road to El Dorado."
-
A.
Kheperkara
Kheperkara is the throne name of the ancient Egyptian pharaoh Senusret I of the Twelfth Dynasty.
-
B.
Kha-khau-Ra
Kha-khau-Ra is the throne name (praenomen) of the ancient Egyptian pharaoh Mycerinus, a ruler of the Fourth Dynasty best known for his pyramid at Giza.
-
C.
Dankaur
Dankaur is a town in the Indian state of Uttar Pradesh, situated within the rapidly developing National Capital Region near Delhi.
-
D.
Kebechet
Kebechet is an ancient Egyptian goddess associated with purification and cooling water, particularly in the context of mummification and the afterlife.
-
E.
Anpu
Anpu is the ancient Egyptian name for Anubis, the jackal-headed god associated with mummification and the protection of the dead.
- F. None of above. chosen
Provenance (5 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5261770ac8190b8fc7e2099aa8ace |
completed | April 19, 2026, 6:59 p.m. |
| NEDg | Description generation | batch_69e52c83768c819086ebfd870ad81998 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.