Triple
T22878295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windstar Cruises |
E567387
|
entity |
| Predicate | hasShip |
P14595
|
FINISHED |
| Object |
Star Legend
Star Legend is a luxury small cruise ship operated by Windstar Cruises, known for its intimate size and upscale, yacht-like experience.
|
E1558623
|
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: Star Legend | Statement: [Windstar Cruises, hasShip, Star Legend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star Legend Context triple: [Windstar Cruises, hasShip, Star Legend]
-
A.
The Story of a Legend
"The Story of a Legend" is a Chinese film featuring acclaimed actress Gong Li in one of her notable early screen roles.
-
B.
The Star
The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
-
C.
The Star
The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
-
D.
The Star
The Star is a 2017 animated Christian comedy film that retells the Nativity story from the perspective of the animals who accompany Mary and Joseph to Bethlehem.
-
E.
The Star
The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
- 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: Star Legend Triple: [Windstar Cruises, hasShip, Star Legend]
Generated description
Star Legend is a luxury small cruise ship operated by Windstar Cruises, known for its intimate size and upscale, yacht-like experience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Star Legend Target entity description: Star Legend is a luxury small cruise ship operated by Windstar Cruises, known for its intimate size and upscale, yacht-like experience.
-
A.
The Story of a Legend
"The Story of a Legend" is a Chinese film featuring acclaimed actress Gong Li in one of her notable early screen roles.
-
B.
The Star
The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
-
C.
The Star
The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
-
D.
The Star
The Star is a 2017 animated Christian comedy film that retells the Nativity story from the perspective of the animals who accompany Mary and Joseph to Bethlehem.
-
E.
The Star
The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5a26f4819086ede6d85a2ab2bf |
completed | April 29, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae9c5fe481909ac18f8628af83f0 |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0bafe8692c819094c6e511964f8b2e |
completed | May 19, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb0abb2c481909c1897b302e92579 |
completed | May 19, 2026, 12:36 a.m. |
Created at: April 17, 2026, 3:39 p.m.