Triple
T4150640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scyphozoa |
E89894
|
entity |
| Predicate | typeSpeciesGenus |
P7381
|
FINISHED |
| Object |
Aurelia
Aurelia is a genus of moon jellyfish, soft-bodied marine cnidarians commonly found in coastal waters worldwide.
|
E417701
|
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: Aurelia | Statement: [Scyphozoa, typeSpeciesGenus, Aurelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurelia Context triple: [Scyphozoa, typeSpeciesGenus, Aurelia]
-
A.
Aurelia
Aurelia is the youngest daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
B.
Aurelia
Aurelia is a character in the Red Nose Day Actually short film, serving as a continuation of her storyline from the original romantic comedy Love Actually.
-
C.
Volusia Vettia
Volusia Vettia was a Roman noblewoman of the 2nd century AD, known primarily as the wife of the usurper emperor Avidius Cassius.
-
D.
Leonida
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
-
E.
Marpessa
Marpessa is a figure in Greek mythology known as a mortal woman whose beauty led to a famous love contest between the god Apollo and the hero Idas.
- 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: Aurelia Triple: [Scyphozoa, typeSpeciesGenus, Aurelia]
Generated description
Aurelia is a genus of moon jellyfish, soft-bodied marine cnidarians commonly found in coastal waters worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aurelia Target entity description: Aurelia is a genus of moon jellyfish, soft-bodied marine cnidarians commonly found in coastal waters worldwide.
-
A.
Aurelia
Aurelia is the youngest daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
B.
Aurelia
Aurelia is a character in the Red Nose Day Actually short film, serving as a continuation of her storyline from the original romantic comedy Love Actually.
-
C.
Volusia Vettia
Volusia Vettia was a Roman noblewoman of the 2nd century AD, known primarily as the wife of the usurper emperor Avidius Cassius.
-
D.
Leonida
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
-
E.
Marpessa
Marpessa is a figure in Greek mythology known as a mortal woman whose beauty led to a famous love contest between the god Apollo and the hero Idas.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0274f440819087dd58a9ce45cce5 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f34c748819093d03ccddd3e1f75 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57f9e42c88190b516bf8dca7b2efc |
completed | March 14, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58028e7108190a6c92fc9ea300f9e |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:43 p.m.