Triple
T25187174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union shuttle |
E630748
|
entity |
| Predicate | parentVehicle |
P161444
|
FINISHED |
| Object |
ECV-197 Orville
ECV-197 Orville is the mid-level exploratory starship serving as the primary setting of the science-fiction television series "The Orville," commanded by Captain Ed Mercer in the 25th century.
|
E1667530
|
NE FINISHED |
How this triple was built (3 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: ECV-197 Orville | Statement: [Union shuttle, parentVehicle, ECV-197 Orville]
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: ECV-197 Orville Triple: [Union shuttle, parentVehicle, ECV-197 Orville]
Generated description
ECV-197 Orville is the mid-level exploratory starship serving as the primary setting of the science-fiction television series "The Orville," commanded by Captain Ed Mercer in the 25th century.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentVehicle Context triple: [Union shuttle, parentVehicle, ECV-197 Orville]
-
A.
hostVehicle
Indicates that one entity serves as the primary or reference vehicle in relation to another entity or context.
-
B.
mainVehicle
Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
-
C.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
-
D.
mainOwnershipVehicleOf
Indicates that one entity is the primary owner of a particular vehicle.
-
E.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
- F. None of above. chosen
Provenance (7 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105d22c5f48190983eb1dca7b52b46 |
completed | May 22, 2026, 1:41 p.m. |
| NEDg | Description generation | batch_6a105e52d9fc8190b22dd25b9cec720b |
completed | May 22, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a105ef626c08190933088d575b2e923 |
completed | May 22, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f613502d808190b89927e5e734b43a |
completed | May 2, 2026, 3:08 p.m. |
Created at: April 21, 2026, 12:44 p.m.