Triple
T1108157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jungle Cruise |
E25532
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Aguirre
Aguirre is a cursed 16th-century Spanish conquistador and the main antagonist in Disney's adventure film "Jungle Cruise."
|
E126658
|
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: Aguirre | Statement: [Jungle Cruise, character, Aguirre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguirre Context triple: [Jungle Cruise, character, Aguirre]
-
A.
Alejandro
Alejandro is the Spanish form of the given name Alexander, commonly used in Spanish-speaking countries.
-
B.
The Gaucho
The Gaucho is a 1927 silent adventure film starring Douglas Fairbanks as a dashing South American cowboy hero in a tale of romance, action, and redemption.
-
C.
Vicente
Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
-
D.
Carmen de Patagones
Carmen de Patagones is a historic town in southern Argentina, known as the oldest settlement in Patagonia and situated on the banks of the Río Negro opposite the city of Viedma.
-
E.
Kurtz
Kurtz is a surname of German origin borne by various notable individuals across fields such as philosophy, literature, and entertainment.
- 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: Aguirre Triple: [Jungle Cruise, character, Aguirre]
Generated description
Aguirre is a cursed 16th-century Spanish conquistador and the main antagonist in Disney's adventure film "Jungle Cruise."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aguirre Target entity description: Aguirre is a cursed 16th-century Spanish conquistador and the main antagonist in Disney's adventure film "Jungle Cruise."
-
A.
Alejandro
Alejandro is the Spanish form of the given name Alexander, commonly used in Spanish-speaking countries.
-
B.
The Gaucho
The Gaucho is a 1927 silent adventure film starring Douglas Fairbanks as a dashing South American cowboy hero in a tale of romance, action, and redemption.
-
C.
Vicente
Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
-
D.
Carmen de Patagones
Carmen de Patagones is a historic town in southern Argentina, known as the oldest settlement in Patagonia and situated on the banks of the Río Negro opposite the city of Viedma.
-
E.
Kurtz
Kurtz is a surname of German origin borne by various notable individuals across fields such as philosophy, literature, and entertainment.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e6134481909f348986a25f65c6 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4cee1881909ca8af01f22bb8bb |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac4d1d58ac8190b1fc39a28aff8c46 |
completed | March 7, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d90c3dc819092f6be4888851477 |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:43 p.m.