Triple
T16096666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Falcon droid brain V5-T |
E390502
|
entity |
| Predicate | hasDesignation |
P974
|
FINISHED |
| Object |
V5-T
V5-T is a droid brain unit installed in the Millennium Falcon, contributing to the starship’s distinctive personality and navigation capabilities.
|
E1193980
|
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: V5-T | Statement: [Millennium Falcon droid brain V5-T, hasDesignation, V5-T]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V5-T Context triple: [Millennium Falcon droid brain V5-T, hasDesignation, V5-T]
-
A.
v5
v5 is a major version of the React Router library that introduced a more declarative, component-based approach to routing in React applications.
-
B.
VEX
VEX is the ICAO airline designator used to identify Virgin Express in aviation operations and communications.
-
C.
VEX
VEX is the commonly used acronym for Venus Express, a European Space Agency mission that studied the atmosphere and surface of Venus.
-
D.
VEX Robotics
VEX Robotics is an educational robotics platform and competition program widely used in schools and clubs to teach STEM, engineering, and programming through hands-on robot design and challenges.
-
E.
VT52
VT52 is an early DEC video terminal introduced in the mid-1970s, known for its compact design and influential control codes that shaped later terminal standards.
- 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: V5-T Triple: [Millennium Falcon droid brain V5-T, hasDesignation, V5-T]
Generated description
V5-T is a droid brain unit installed in the Millennium Falcon, contributing to the starship’s distinctive personality and navigation capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: V5-T Target entity description: V5-T is a droid brain unit installed in the Millennium Falcon, contributing to the starship’s distinctive personality and navigation capabilities.
-
A.
v5
v5 is a major version of the React Router library that introduced a more declarative, component-based approach to routing in React applications.
-
B.
VEX
VEX is the ICAO airline designator used to identify Virgin Express in aviation operations and communications.
-
C.
VEX
VEX is the commonly used acronym for Venus Express, a European Space Agency mission that studied the atmosphere and surface of Venus.
-
D.
VEX Robotics
VEX Robotics is an educational robotics platform and competition program widely used in schools and clubs to teach STEM, engineering, and programming through hands-on robot design and challenges.
-
E.
VT52
VT52 is an early DEC video terminal introduced in the mid-1970s, known for its compact design and influential control codes that shaped later terminal standards.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e18593d0fc8190aa3ba3edb4219aaa |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb991ba88190ad568a49069f9701 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:59 a.m.