Triple
T13774085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pirate Fairy |
E330954
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Zarina
Zarina is the adventurous dust-keeper fairy who becomes a pirate captain in Disney's Tinker Bell film "The Pirate Fairy."
|
E1059984
|
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: Zarina | Statement: [The Pirate Fairy, mainCharacter, Zarina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zarina Context triple: [The Pirate Fairy, mainCharacter, Zarina]
-
A.
Gulbahar
Gulbahar is a residential neighborhood in Karachi, Pakistan, known for its dense urban setting and local commercial activity.
-
B.
Gulbahar
Gulbahar is a town in northeastern Afghanistan situated along the Panjshir River and known as a local commercial and agricultural center.
-
C.
Zohra
Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
-
D.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
E.
Anila
Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
- 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: Zarina Triple: [The Pirate Fairy, mainCharacter, Zarina]
Generated description
Zarina is the adventurous dust-keeper fairy who becomes a pirate captain in Disney's Tinker Bell film "The Pirate Fairy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zarina Target entity description: Zarina is the adventurous dust-keeper fairy who becomes a pirate captain in Disney's Tinker Bell film "The Pirate Fairy."
-
A.
Gulbahar
Gulbahar is a residential neighborhood in Karachi, Pakistan, known for its dense urban setting and local commercial activity.
-
B.
Gulbahar
Gulbahar is a town in northeastern Afghanistan situated along the Panjshir River and known as a local commercial and agricultural center.
-
C.
Zohra
Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
-
D.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
E.
Anila
Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86afd788190ab637044dd489a24 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a9f5549c81908a1a0b080acc3396 |
completed | May 3, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aafceea881908737a3d7613db2d5 |
completed | May 3, 2026, 8:07 p.m. |
Created at: April 9, 2026, 10:10 p.m.