Triple
T12315943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vela |
E293598
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
MuVelorum
Mu Velorum is a bright giant star in the southern constellation Vela, visible to the naked eye and notable as one of the constellation’s prominent members.
|
E976580
|
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: MuVelorum | Statement: [Vela, contains, MuVelorum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MuVelorum Context triple: [Vela, contains, MuVelorum]
-
A.
Nomentum
Nomentum was an ancient town in Latium, northeast of Rome, known as a minor but historically significant settlement along important Roman roads.
-
B.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
C.
Muevelo
Muevelo is a song best known as a high-energy Latin dance track whose title translates to “Move it.”
-
D.
Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
-
E.
Omnimover
Omnimover is a continuously moving ride system used in Disney theme park attractions to transport guests smoothly through elaborately themed environments.
- 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: MuVelorum Triple: [Vela, contains, MuVelorum]
Generated description
Mu Velorum is a bright giant star in the southern constellation Vela, visible to the naked eye and notable as one of the constellation’s prominent members.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MuVelorum Target entity description: Mu Velorum is a bright giant star in the southern constellation Vela, visible to the naked eye and notable as one of the constellation’s prominent members.
-
A.
Nomentum
Nomentum was an ancient town in Latium, northeast of Rome, known as a minor but historically significant settlement along important Roman roads.
-
B.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
C.
Muevelo
Muevelo is a song best known as a high-energy Latin dance track whose title translates to “Move it.”
-
D.
Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
-
E.
Omnimover
Omnimover is a continuously moving ride system used in Disney theme park attractions to transport guests smoothly through elaborately themed environments.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f05186481909c024a933b4f6c60 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e86d45881909a9a3c09df0b78f1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622a646c481908164ae5387625bb4 |
completed | May 2, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f623f5aa608190bce3e62e08077216 |
completed | May 2, 2026, 4:19 p.m. |
Created at: April 8, 2026, 9:53 p.m.