Triple
T6125547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wiz Live! |
E136585
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Addaperle
Addaperle is a comedic good witch character in "The Wiz" universe, known for her quirky, bumbling magic and warm-hearted guidance.
|
E570576
|
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: Addaperle | Statement: [The Wiz Live!, featuresCharacter, Addaperle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Addaperle Context triple: [The Wiz Live!, featuresCharacter, Addaperle]
-
A.
Apenrade
Apenrade is a historic coastal town in southern Denmark, known today by its Danish name Aabenraa and situated near the German border.
-
B.
Aparan
Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
-
C.
Perrepa Perrepa
Perrepa Perrepa is an Indigenous people known by the ethnonym "Perrepa Perrepa," representing their distinct cultural and ethnic identity.
-
D.
Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
E.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
- 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: Addaperle Triple: [The Wiz Live!, featuresCharacter, Addaperle]
Generated description
Addaperle is a comedic good witch character in "The Wiz" universe, known for her quirky, bumbling magic and warm-hearted guidance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Addaperle Target entity description: Addaperle is a comedic good witch character in "The Wiz" universe, known for her quirky, bumbling magic and warm-hearted guidance.
-
A.
Apenrade
Apenrade is a historic coastal town in southern Denmark, known today by its Danish name Aabenraa and situated near the German border.
-
B.
Aparan
Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
-
C.
Perrepa Perrepa
Perrepa Perrepa is an Indigenous people known by the ethnonym "Perrepa Perrepa," representing their distinct cultural and ethnic identity.
-
D.
Perka
Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
E.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c28dbbc8190a0a0c20ec794e81a |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135b2500c8190aaf67b059ccbe3f1 |
completed | March 23, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69c13769a4bc81908d45d371e77f8d32 |
completed | March 23, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c138247e2c8190b6c2aabbd36ad9c0 |
completed | March 23, 2026, 12:55 p.m. |
Created at: March 22, 2026, 4:14 p.m.