Triple

T32966659

Position	Surface form	Disambiguated ID	Type / Status
Subject	Amphitruo	`E843388`	entity
Predicate	hasDoubleOfServant	`P144124`	FINISHED
Object	Mercury disguised as Sosia Mercury disguised as Sosia is the god Mercury in Plautus’ comedy "Amphitruo," who takes on the appearance of the servant Sosia to create comic confusion and mistaken identity.	`E2030612`	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: Mercury disguised as Sosia | Statement: [Amphitruo, hasDoubleOfServant, Mercury disguised as Sosia]

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: Mercury disguised as Sosia
Triple: [Amphitruo, hasDoubleOfServant, Mercury disguised as Sosia]

Generated description

Mercury disguised as Sosia is the god Mercury in Plautus’ comedy "Amphitruo," who takes on the appearance of the servant Sosia to create comic confusion and mistaken identity.

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

Target predicate: hasDoubleOfServant
Context triple: [Amphitruo, hasDoubleOfServant, Mercury disguised as Sosia]

A. hasServant
Indicates that one entity has another entity serving it in a subordinate or attendant role.
B. treatsServants
Indicates how an entity behaves toward or deals with its servants.
C. hasEnslavedCharacter
Indicates that one entity has held another entity in a state of slavery or forced servitude.
D. servantType
Indicates the specific role or category of service that one entity performs in relation to another.
E. hasDoppelganger chosen
Indicates that an entity has a counterpart or double that closely resembles it, often in appearance, behavior, or role.
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_69f3494af2808190ad98cec2f1bc0fe6`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f74c70fd248190a9d5543afcb08211`	completed	May 3, 2026, 1:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34d28087a881909a00e64dfb81140b`	completed	June 19, 2026, 5:24 a.m.
NEDg	Description generation	`batch_6a34d30d5a7c8190b05f04ed591361b0`	completed	June 19, 2026, 5:26 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34d405a48c8190ab95daacc1a06ff5`	completed	June 19, 2026, 5:30 a.m.
PD	Predicate disambiguation	`batch_69f7478e3b548190a51d5d436e2bb036`	completed	May 3, 2026, 1:03 p.m.

Created at: May 1, 2026, 1:21 a.m.