Triple
T1878480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Voyages |
E39797
|
entity |
| Predicate | ship |
P880
|
FINISHED |
| Object |
Scarlet Lady
Scarlet Lady is a cruise ship operated by Virgin Voyages, known for its adults-only voyages and modern, boutique-style onboard experience.
|
E209381
|
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: Scarlet Lady | Statement: [Virgin Voyages, ship, Scarlet Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarlet Lady Context triple: [Virgin Voyages, ship, Scarlet Lady]
-
A.
Maiden Bradley
Maiden Bradley is a small historic village and civil parish in southwest Wiltshire, England, known for its rural setting and long association with the Seymour family.
-
B.
Scarlet Knight
Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
-
C.
Lady of Baza
The Lady of Baza is an ancient Iberian funerary sculpture of a seated female figure, notable for its detailed polychrome decoration and rich iconography reflecting Iberian religious and social practices.
-
D.
Mariette
Mariette is a French feminine given name, commonly used as a diminutive or affectionate form of Marie.
-
E.
Rosanero
Rosanero is the traditional nickname of Italian football club Palermo FC, referring to the club’s distinctive pink-and-black colors.
- 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: Scarlet Lady Triple: [Virgin Voyages, ship, Scarlet Lady]
Generated description
Scarlet Lady is a cruise ship operated by Virgin Voyages, known for its adults-only voyages and modern, boutique-style onboard experience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scarlet Lady Target entity description: Scarlet Lady is a cruise ship operated by Virgin Voyages, known for its adults-only voyages and modern, boutique-style onboard experience.
-
A.
Maiden Bradley
Maiden Bradley is a small historic village and civil parish in southwest Wiltshire, England, known for its rural setting and long association with the Seymour family.
-
B.
Scarlet Knight
Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
-
C.
Lady of Baza
The Lady of Baza is an ancient Iberian funerary sculpture of a seated female figure, notable for its detailed polychrome decoration and rich iconography reflecting Iberian religious and social practices.
-
D.
Mariette
Mariette is a French feminine given name, commonly used as a diminutive or affectionate form of Marie.
-
E.
Rosanero
Rosanero is the traditional nickname of Italian football club Palermo FC, referring to the club’s distinctive pink-and-black colors.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf59a5b48190bb4b47641681ebb7 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfe46b388190b319043170253701 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade08d0ce0819097beb901dbb39d89 |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.