Triple
T3249228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Princess and the Frog |
E68135
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Dr. Facilier
Dr. Facilier is the charismatic and sinister voodoo witch doctor who serves as the primary antagonist in Disney’s animated film "The Princess and the Frog."
|
E340825
|
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: Dr. Facilier | Statement: [The Princess and the Frog, mainCharacter, Dr. Facilier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Facilier Context triple: [The Princess and the Frog, mainCharacter, Dr. Facilier]
-
A.
Gaston
Gaston is a masculine given name of French origin commonly used in Francophone countries and beyond.
-
B.
Lurch
Lurch is the towering, gloomy butler of the eccentric Addams Family, known for his deep voice, slow movements, and deadpan demeanor.
-
C.
Balthazar
Balthazar is a traditional variant of the name Belshazzar, historically associated with a Babylonian ruler mentioned in the Bible and later used in various cultural and literary contexts.
-
D.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
E.
Quasimodo
Quasimodo is the deformed and kind-hearted bell ringer of Notre-Dame Cathedral in Victor Hugo’s novel "The Hunchback of Notre-Dame."
- 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: Dr. Facilier Triple: [The Princess and the Frog, mainCharacter, Dr. Facilier]
Generated description
Dr. Facilier is the charismatic and sinister voodoo witch doctor who serves as the primary antagonist in Disney’s animated film "The Princess and the Frog."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dr. Facilier Target entity description: Dr. Facilier is the charismatic and sinister voodoo witch doctor who serves as the primary antagonist in Disney’s animated film "The Princess and the Frog."
-
A.
Gaston
Gaston is a masculine given name of French origin commonly used in Francophone countries and beyond.
-
B.
Lurch
Lurch is the towering, gloomy butler of the eccentric Addams Family, known for his deep voice, slow movements, and deadpan demeanor.
-
C.
Balthazar
Balthazar is a traditional variant of the name Belshazzar, historically associated with a Babylonian ruler mentioned in the Bible and later used in various cultural and literary contexts.
-
D.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
E.
Quasimodo
Quasimodo is the deformed and kind-hearted bell ringer of Notre-Dame Cathedral in Victor Hugo’s novel "The Hunchback of Notre-Dame."
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf3fc3c8819080ac95974581ca0e |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2776934108190ac405ba5ebd47084 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27c2c16188190af03674ead3944de |
completed | March 12, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27ca63b1c8190ac6f67aef6d2c7e1 |
completed | March 12, 2026, 8:43 a.m. |
Created at: March 8, 2026, 3:09 p.m.