Triple

T35704413

Position	Surface form	Disambiguated ID	Type / Status
Subject	Hearst College	`E1031676`	entity
Predicate	hasFacultyOrStaffCharacter	`P141`	FINISHED
Object	Professor Hank Landry Professor Hank Landry is a fictional faculty member at Hearst College in the television series "Veronica Mars."	`E2151343`	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 Hank Landry | Statement: [Hearst College, hasFacultyOrStaffCharacter, Professor Hank Landry]

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 Hank Landry
Triple: [Hearst College, hasFacultyOrStaffCharacter, Professor Hank Landry]

Generated description

Professor Hank Landry is a fictional faculty member at Hearst College in the television series "Veronica Mars."

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

Target predicate: hasFacultyOrStaffCharacter
Context triple: [Hearst College, hasFacultyOrStaffCharacter, Professor Hank Landry]

A. hasFacultyOrSchool
Indicates that an institution or organization includes, is composed of, or is associated with a particular faculty or school as one of its academic subdivisions.
B. hasFacultyType
Indicates that a faculty member or academic unit is associated with a specific category or type of faculty (e.g., full-time, adjunct, visiting).
C. hasFaculty chosen
Indicates that an institution or department possesses or is associated with one or more faculty members.
D. hasFacultyIn
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
E. hasAcademicStaff
Indicates that an institution or organization employs or is associated with one or more academic staff members.
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_69f76e0d393c8190b6303c64408736db`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69fe08d2b2e48190ac7be6d62d4a44a3`	completed	May 8, 2026, 4:01 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38729c21908190ae5baf815c523aeb`	completed	June 21, 2026, 11:24 p.m.
NEDg	Description generation	`batch_6a3873b54e98819081d03d29202e0cce`	completed	June 21, 2026, 11:28 p.m.
NED2	Entity disambiguation (via description)	`batch_6a387471166481908564c7a5aa5fc646`	completed	June 21, 2026, 11:32 p.m.
PD	Predicate disambiguation	`batch_69fe06cd3af08190ae25de0dc0cdd573`	completed	May 8, 2026, 3:52 p.m.

Created at: May 3, 2026, 4:05 p.m.