Triple

T38478086

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Shores of Hell	`E915599`	entity
Predicate	hasFirstLevel	`P202519`	FINISHED
Object	E2M1: Deimos Anomaly E2M1: Deimos Anomaly is the opening level of Doom’s second episode, set on the moon Deimos and known for introducing players to a more complex, hellish tech-base environment.	`E2272113`	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: E2M1: Deimos Anomaly | Statement: [The Shores of Hell, hasFirstLevel, E2M1: Deimos Anomaly]

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: E2M1: Deimos Anomaly
Triple: [The Shores of Hell, hasFirstLevel, E2M1: Deimos Anomaly]

Generated description

E2M1: Deimos Anomaly is the opening level of Doom’s second episode, set on the moon Deimos and known for introducing players to a more complex, hellish tech-base environment.

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

Target predicate: hasFirstLevel
Context triple: [The Shores of Hell, hasFirstLevel, E2M1: Deimos Anomaly]

A. hasFirstLineUpperLevel
Indicates that an entity’s first line is located on or belongs to an upper-level section or tier within a larger structure or hierarchy.
B. hasSecondLevel
Indicates that an entity possesses or is associated with a second hierarchical level within a structured system or classification.
C. hasTopLevel
Indicates that one entity is the highest or primary element within a hierarchy or structure relative to another entity.
D. hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
E. hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
F. None of above. chosen

Provenance (7 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_69f76e8ff5cc8190a88803369183845e`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a008c77d4dc8190b342d7407eaf48fa`	completed	May 10, 2026, 1:47 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41ccc099ec819081d90128bb38d1c0`	completed	June 29, 2026, 1:39 a.m.
NEDg	Description generation	`batch_6a41cdbe47f08190b18cc238cabca598`	completed	June 29, 2026, 1:43 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41ce4cee4481909d34941327630fb7`	completed	June 29, 2026, 1:45 a.m.
PD	Predicate disambiguation	`batch_6a008c18531c8190bbe883b73e6d023f`	completed	May 10, 2026, 1:46 p.m.
PDg	Predicate description generation	`batch_6a008c770df481908fe58b265fba06a3`	completed	May 10, 2026, 1:47 p.m.

Created at: May 3, 2026, 4:31 p.m.