Triple

T27349782

Position	Surface form	Disambiguated ID	Type / Status
Subject	Maarva Andor	`E684322`	entity
Predicate	associatedDroid	`P113623`	FINISHED
Object	B2EMO B2EMO is a loyal, somewhat quirky groundmech droid from the Star Wars series "Andor," serving the Andor family and providing both practical assistance and emotional support.	`E1767130`	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: B2EMO | Statement: [Maarva Andor, associatedDroid, B2EMO]

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: B2EMO
Triple: [Maarva Andor, associatedDroid, B2EMO]

Generated description

B2EMO is a loyal, somewhat quirky groundmech droid from the Star Wars series "Andor," serving the Andor family and providing both practical assistance and emotional support.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: associatedDroid
Context triple: [Maarva Andor, associatedDroid, B2EMO]

A. associatedMob
Indicates a relationship where one entity is linked or connected to a particular mob (mobile entity), typically as its counterpart, partner, or related unit.
B. relatedDevice
Indicates that one device has an association or connection to another device, without specifying the exact nature of that relationship.
C. relatedToDevice chosen
Indicates that there exists a general association or connection between an entity and a device, without specifying the exact nature of that relationship.
D. associatedSystem
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
E. associatedItem
Indicates that one item is linked or connected to another in a relevant or context-dependent way, without specifying a more precise relationship.
F. None of above.

Provenance (6 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_69ef1480a76481908684256ddd5bfda3`	completed	April 27, 2026, 7:47 a.m.
NER	Named-entity recognition	`batch_69ffe12ee59c8190bc7da386e6d5332d`	completed	May 10, 2026, 1:36 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a129ccd6fc08190adb59b21555f7029`	completed	May 24, 2026, 6:38 a.m.
NEDg	Description generation	`batch_6a129da51ce08190b85045a3d378c25f`	completed	May 24, 2026, 6:41 a.m.
NED2	Entity disambiguation (via description)	`batch_6a129e3138ac8190acdda9aff6f9fc88`	completed	May 24, 2026, 6:44 a.m.
PD	Predicate disambiguation	`batch_69ffe0a138bc8190a3d4b48cd579e985`	completed	May 10, 2026, 1:34 a.m.

Created at: April 27, 2026, 11:47 a.m.