Triple

T34181859

Position	Surface form	Disambiguated ID	Type / Status
Subject	Frank T.J. Mackey	`E876841`	entity
Predicate	teachesInFictionalProgram	`P176538`	FINISHED
Object	Seduce and Destroy Seduce and Destroy is a fictional self-help seminar program focused on manipulative pickup tactics, featured in the film "Magnolia" and led by the character Frank T.J. Mackey.	`E2084074`	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: Seduce and Destroy | Statement: [Frank T.J. Mackey, teachesInFictionalProgram, Seduce and Destroy]

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: Seduce and Destroy
Triple: [Frank T.J. Mackey, teachesInFictionalProgram, Seduce and Destroy]

Generated description

Seduce and Destroy is a fictional self-help seminar program focused on manipulative pickup tactics, featured in the film "Magnolia" and led by the character Frank T.J. Mackey.

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

Target predicate: teachesInFictionalProgram
Context triple: [Frank T.J. Mackey, teachesInFictionalProgram, Seduce and Destroy]

A. isTaughtTo
Indicates that some knowledge, skill, or subject is being instructed or conveyed by a teacher or source to a learner or recipient.
B. teacherInScene chosen
Indicates that an entity is acting in the role of a teacher within a particular scene or context.
C. alsoTeachesIn
Indicates that an individual who teaches in one context or institution additionally teaches in another context or institution.
D. taughtAs
Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
E. areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
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_69f349ae640c8190b9cd220b5368d8b6`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f7100635d481909a201b11a27f181b`	completed	May 3, 2026, 9:06 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36c1e01bf88190b1c411b2f7181b34`	completed	June 20, 2026, 4:37 p.m.
NEDg	Description generation	`batch_6a36c29f87d081908c03e8fb251b7e71`	completed	June 20, 2026, 4:41 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36c486d2888190b990ac07ac3f089f`	completed	June 20, 2026, 4:49 p.m.
PD	Predicate disambiguation	`batch_69f70f3c5bfc81908585f52e196dafe5`	completed	May 3, 2026, 9:02 a.m.

Created at: May 1, 2026, 1:54 a.m.