Triple
T10210518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Covenant |
E242312
|
entity |
| Predicate | followedByWork |
P9710
|
FINISHED |
| Object | Space |
E242311
|
NE FINISHED |
How this triple was built (2 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: Space | Statement: [The Covenant, followedByWork, Space]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Space Context triple: [The Covenant, followedByWork, Space]
-
A.
Space
Space is JetBrains’ integrated team collaboration and development platform that combines source code hosting, project management, communication tools, and CI/CD in a single environment.
-
B.
Space
chosen
"Space" is a 1982 epic historical novel by James A. Michener that explores the development of the U.S. space program and the people involved in it.
-
C.
PlanetSpace
PlanetSpace was a private aerospace company that competed for NASA commercial spaceflight contracts in the 2000s, focusing on developing launch and orbital transportation services.
-
D.
Spaces
Spaces is a virtual desktop feature in macOS that lets users organize and switch between multiple workspaces to manage open applications and windows more efficiently.
-
E.
Space Systems
Space Systems is a Northrop Grumman business segment focused on developing and producing spacecraft, launch systems, and related space technologies for civil, military, and commercial customers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fbed008190b66996f5bb397853 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652d8088c819084040883f2ab9dc6 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:01 a.m.