Triple

T34958013

Position	Surface form	Disambiguated ID	Type / Status
Subject	Naomi Wildman	`E1008170`	entity
Predicate	favoriteHoloprogram	`P166356`	FINISHED
Object	The Adventures of Flotter The Adventures of Flotter is a children’s holodeck program in Star Trek: Voyager that uses whimsical characters and stories to teach science and problem-solving.	`E2119537`	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: The Adventures of Flotter | Statement: [Naomi Wildman, favoriteHoloprogram, The Adventures of Flotter]

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: The Adventures of Flotter
Triple: [Naomi Wildman, favoriteHoloprogram, The Adventures of Flotter]

Generated description

The Adventures of Flotter is a children’s holodeck program in Star Trek: Voyager that uses whimsical characters and stories to teach science and problem-solving.

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

Target predicate: favoriteHoloprogram
Context triple: [Naomi Wildman, favoriteHoloprogram, The Adventures of Flotter]

A. famousProgram
Indicates that a program is widely recognized or well-known, typically for its impact, quality, or popularity.
B. programOf
Indicates that one entity is a program (such as a course of study or curriculum) that is offered, managed, or associated with another entity (such as an institution, department, or organization).
C. featuresFictionalProgram
Indicates that a work includes or presents a fictional program (such as a TV show, software, or in-universe broadcast) as part of its content.
D. favoriteObject chosen
Indicates that one entity is the preferred or most liked object of another entity.
E. futureProgramme
Indicates that a programme is scheduled to occur at a future time relative to a given reference point.
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_69f76dc69564819099e9e78aed6ff0a6`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f78710282c81909146dc0be91e983f`	completed	May 3, 2026, 5:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37a8d0206c819093399aa913498b4f`	completed	June 21, 2026, 9:03 a.m.
NEDg	Description generation	`batch_6a37aca349288190b7be7c30d73c371f`	completed	June 21, 2026, 9:19 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37ad78958481909c0d827f16c0ba22`	completed	June 21, 2026, 9:23 a.m.
PD	Predicate disambiguation	`batch_69f784162134819098413482ef52042f`	completed	May 3, 2026, 5:21 p.m.

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