Triple
T14214201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial Enterprises |
E352306
|
entity |
| Predicate | backed |
P516
|
FINISHED |
| Object |
Stardust
Stardust is a British political organization and campaign group focused on advocating for progressive, pro-European Union policies.
|
E1086088
|
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: Stardust | Statement: [Memorial Enterprises, backed, Stardust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stardust Context triple: [Memorial Enterprises, backed, Stardust]
-
A.
Stardust
"Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
-
B.
Stardust
Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
-
C.
Stardust
Stardust was a NASA Discovery Program mission that collected and returned samples from the coma of comet Wild 2 and interstellar dust to Earth for detailed laboratory analysis.
-
D.
"Stardust"
"Stardust" is a catchy, piano-driven pop song by Mika known for its romantic lyrics and melodic, upbeat style.
-
E.
Starlight
"Starlight" is a popular song by the English rock band Muse, known for its anthemic chorus and prominent piano-driven melody.
- 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: Stardust Triple: [Memorial Enterprises, backed, Stardust]
Generated description
Stardust is a British political organization and campaign group focused on advocating for progressive, pro-European Union policies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stardust Target entity description: Stardust is a British political organization and campaign group focused on advocating for progressive, pro-European Union policies.
-
A.
Stardust
"Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
-
B.
Stardust
Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale romance and adventure in a magical realm bordering Victorian England.
-
C.
Stardust
Stardust was a NASA Discovery Program mission that collected and returned samples from the coma of comet Wild 2 and interstellar dust to Earth for detailed laboratory analysis.
-
D.
"Stardust"
"Stardust" is a catchy, piano-driven pop song by Mika known for its romantic lyrics and melodic, upbeat style.
-
E.
Starlight
Starlight is a science fiction comic book series written by Mark Millar that follows an aging former space hero called back for one last adventure.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1959f3d481909c15730bbd6f4748 |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1a88fd948190b5d78a4ca4acdb94 |
completed | May 7, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b2ed7748190b3f787f1b64c8831 |
completed | May 7, 2026, 11:07 p.m. |
Created at: April 10, 2026, 1:06 a.m.