Triple
T18354974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triplicate |
E439765
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object |
Stardust
Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale adventure with romance and dark whimsy.
|
E158659
|
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: [Triplicate, containsWork, Stardust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stardust Context triple: [Triplicate, containsWork, 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 is a British political organization and campaign group focused on advocating for progressive, pro-European Union policies.
-
D.
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.
-
E.
Stardust
Stardust is a 1974 British musical drama film following the rise and fall of a rock star, serving as a sequel to the film "That'll Be the Day."
- 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: [Triplicate, containsWork, Stardust]
Generated description
Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale adventure with romance and dark whimsy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stardust Target entity description: Stardust is a fantasy novel by Neil Gaiman that blends fairy-tale adventure with romance and dark whimsy.
-
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
chosen
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 British political organization and campaign group focused on advocating for progressive, pro-European Union policies.
-
E.
Stardust
Stardust is a 1974 British musical drama film following the rise and fall of a rock star, serving as a sequel to the film "That'll Be the Day."
- F. None of above.
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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d458148190849ed28fa90eb92b |
completed | April 19, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc2cf93081908604ad44ca963809 |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03cdf740508190a7c348490b279d0d |
completed | May 13, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03cf558f288190adab7db6ee6aa394 |
completed | May 13, 2026, 1:09 a.m. |
Created at: April 10, 2026, 10:37 a.m.