Triple
T14711892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charming |
E345565
|
entity |
| Predicate | hasFictionalBusiness |
P35913
|
FINISHED |
| Object |
Diosa Norte
Diosa Norte is a fictional business associated with the character Charming, likely serving as a stylish or distinctive brand within that narrative world.
|
E1116237
|
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: Diosa Norte | Statement: [Charming, hasFictionalBusiness, Diosa Norte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diosa Norte Context triple: [Charming, hasFictionalBusiness, Diosa Norte]
-
A.
La Dea
La Dea is the widely used nickname for Italian football club Atalanta Bergamasca Calcio, referencing the mythological goddess Atalanta.
-
B.
Tauá
Tauá is a municipality in the interior of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
-
C.
Pachamama
Pachamama is the Andean earth and fertility goddess revered as a mother figure who sustains life and nature.
-
D.
Mixcoatl
Mixcoatl is an important Mesoamerican hunting and war deity, often associated with the Milky Way, storms, and the patronage of hunters and warriors.
-
E.
Alaqua
Alaqua is a feminine given name most notably borne by American actress Alaqua Cox, known for her role in the Marvel Cinematic Universe.
- 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: Diosa Norte Triple: [Charming, hasFictionalBusiness, Diosa Norte]
Generated description
Diosa Norte is a fictional business associated with the character Charming, likely serving as a stylish or distinctive brand within that narrative world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diosa Norte Target entity description: Diosa Norte is a fictional business associated with the character Charming, likely serving as a stylish or distinctive brand within that narrative world.
-
A.
La Dea
La Dea is the widely used nickname for Italian football club Atalanta Bergamasca Calcio, referencing the mythological goddess Atalanta.
-
B.
Tauá
Tauá is a municipality in the interior of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
-
C.
Pachamama
Pachamama is the Andean earth and fertility goddess revered as a mother figure who sustains life and nature.
-
D.
Mixcoatl
Mixcoatl is an important Mesoamerican hunting and war deity, often associated with the Milky Way, storms, and the patronage of hunters and warriors.
-
E.
Alaqua
Alaqua is a feminine given name most notably borne by American actress Alaqua Cox, known for her role in the Marvel Cinematic Universe.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08f2aa08190a5ac3240d1de90fb |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf23d4928819093630e25616abb2d |
completed | May 8, 2026, 2:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf31fcb4081908a88cf4d4c5ddced |
completed | May 8, 2026, 2:28 p.m. |
Created at: April 10, 2026, 1:28 a.m.