Triple

T28666947

Position	Surface form	Disambiguated ID	Type / Status
Subject	Inspector John Raymond Legrasse	`E725608`	entity
Predicate	presentsEvidenceTo	`P179213`	FINISHED
Object	Professor Angell Professor Angell is a fictional elderly linguistics and archaeology scholar from H. P. Lovecraft’s “The Call of Cthulhu,” known for his research into ancient cults and forbidden knowledge.	`E1828041`	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: Professor Angell | Statement: [Inspector John Raymond Legrasse, presentsEvidenceTo, Professor Angell]

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: Professor Angell
Triple: [Inspector John Raymond Legrasse, presentsEvidenceTo, Professor Angell]

Generated description

Professor Angell is a fictional elderly linguistics and archaeology scholar from H. P. Lovecraft’s “The Call of Cthulhu,” known for his research into ancient cults and forbidden knowledge.

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

Target predicate: presentsEvidenceTo
Context triple: [Inspector John Raymond Legrasse, presentsEvidenceTo, Professor Angell]

A. providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
B. evidenceAtIssue
Indicates that a particular piece of evidence is directly contested, disputed, or central to the disagreement or decision in a case or situation.
C. mayHearEvidenceFrom
Indicates that an authority or decision-maker is permitted to receive and consider evidence presented by a specified source.
D. hasMaterialEvidence
Indicates that there exists tangible, physical evidence supporting or associated with a particular entity, event, or claim.
E. usedEvidenceType
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
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_69f01d85be388190b669a0e401e2f2c4`	completed	April 28, 2026, 2:37 a.m.
NER	Named-entity recognition	`batch_69f7201e241c819092d56a7bb99dc94d`	completed	May 3, 2026, 10:14 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1cc395a1a88190877ee0a155d4b3eb`	completed	May 31, 2026, 11:26 p.m.
NEDg	Description generation	`batch_6a1cc463bda48190bec84f370b367cff`	completed	May 31, 2026, 11:29 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1cc4ff58dc8190a81f7ad27e6b6fa8`	completed	May 31, 2026, 11:32 p.m.
PD	Predicate disambiguation	`batch_69f71cc405c08190863565609a4c8499`	completed	May 3, 2026, 10 a.m.
PDg	Predicate description generation	`batch_69f71f8df5d48190944fbfbd9d573868`	completed	May 3, 2026, 10:12 a.m.

Created at: April 28, 2026, 5:01 a.m.