Triple

T34211783

Position	Surface form	Disambiguated ID	Type / Status
Subject	Camp Lazlo	`E877674`	entity
Predicate	oppositeCamp	`P42770`	FINISHED
Object	Acorn Flats Acorn Flats is the girls’ summer camp across the lake from Camp Kidney in the animated television series "Camp Lazlo."	`E2086112`	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: Acorn Flats | Statement: [Camp Lazlo, oppositeCamp, Acorn Flats]

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: Acorn Flats
Triple: [Camp Lazlo, oppositeCamp, Acorn Flats]

Generated description

Acorn Flats is the girls’ summer camp across the lake from Camp Kidney in the animated television series "Camp Lazlo."

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

Target predicate: oppositeCamp
Context triple: [Camp Lazlo, oppositeCamp, Acorn Flats]

A. opposite
Indicates that one entity is positioned or oriented directly across from, or in a contrary or reverse relation to, another entity.
B. opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
C. opposingAlliance chosen
Indicates that two entities belong to rival or mutually opposed alliances or factions.
D. opposition
Indicates a relationship in which one entity actively resists, disagrees with, or is positioned against another entity, idea, or action.
E. opposingForce
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
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_69f349b0b4bc819088c1552424089ee9`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69fd2cf39b0c8190811b8a6fa9410560`	completed	May 8, 2026, 12:23 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36cc918f088190983dfd1483a75c0e`	completed	June 20, 2026, 5:23 p.m.
NEDg	Description generation	`batch_6a36cd5b9ff48190b9e6d76abfff3295`	completed	June 20, 2026, 5:26 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36ce3e3e48819091aece379948e411`	completed	June 20, 2026, 5:30 p.m.
PD	Predicate disambiguation	`batch_69fd2ad8dd988190a9899701ba00d917`	completed	May 8, 2026, 12:14 a.m.

Created at: May 1, 2026, 1:55 a.m.