Triple

T34561538

Position	Surface form	Disambiguated ID	Type / Status
Subject	Dr. Anton Arcane	`E887352`	entity
Predicate	primaryOpponentGroup	`P116577`	FINISHED
Object	avatars of the Green The avatars of the Green are powerful elemental champions in DC Comics who embody and defend the plant-based life force known as the Green, often opposing corrupting forces like Dr. Anton Arcane.	`E2101703`	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: avatars of the Green | Statement: [Dr. Anton Arcane, primaryOpponentGroup, avatars of the Green]

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: avatars of the Green
Triple: [Dr. Anton Arcane, primaryOpponentGroup, avatars of the Green]

Generated description

The avatars of the Green are powerful elemental champions in DC Comics who embody and defend the plant-based life force known as the Green, often opposing corrupting forces like Dr. Anton Arcane.

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

Target predicate: primaryOpponentGroup
Context triple: [Dr. Anton Arcane, primaryOpponentGroup, avatars of the Green]

A. opponentGroup chosen
Indicates that one group is in opposition or conflict with another group, typically as a rival, competitor, or adversary.
B. primaryPlayerGroup
Indicates the group that serves as the main or principal set of players associated with a given context or activity.
C. associatedOpponent
Indicates that one entity is recognized or designated as an opponent or adversary associated with another entity in a given context.
D. secondaryOpponent
Indicates that an entity serves as an additional or backup opponent to a primary one in a given context or interaction.
E. primaryOpponentsArgument
Indicates that the argument specified is the main or central argument presented by an opposing side in a debate or conflict.
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_69f349d0c4d881908dd0950f5eb9ec0a`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_6a037c8ae0248190b7e2ce4bf852c22d`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37362840a08190a5339cef226a93c0`	completed	June 21, 2026, 12:54 a.m.
NEDg	Description generation	`batch_6a3736d2432c819083dc2022f6d5b181`	completed	June 21, 2026, 12:56 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37375fecf081908a85fdb46751fc6b`	completed	June 21, 2026, 12:59 a.m.
PD	Predicate disambiguation	`batch_6a0379fd7aac8190873077e63873aa72`	completed	May 12, 2026, 7:05 p.m.

Created at: May 1, 2026, 2:02 a.m.