Triple

T34958293

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cold Fire	`E1008176`	entity
Predicate	mainCharacterArc	`P20798`	FINISHED
Object	Kes struggles to control her expanding mental powers and chooses loyalty to Voyager over a more powerful Ocampa community. Kes is an Ocampa crew member of the starship Voyager whose rapidly growing psychic abilities force her to confront the temptation of greater power and reaffirm her commitment to her human and alien shipmates.	`E2119548`	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: Kes struggles to control her expanding mental powers and chooses loyalty to Voyager over a more powerful Ocampa community. | Statement: [Cold Fire, mainCharacterArc, Kes struggles to control her expanding mental powers and chooses loyalty to Voyager over a more powerful Ocampa community.]

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: Kes struggles to control her expanding mental powers and chooses loyalty to Voyager over a more powerful Ocampa community.
Triple: [Cold Fire, mainCharacterArc, Kes struggles to control her expanding mental powers and chooses loyalty to Voyager over a more powerful Ocampa community.]

Generated description

Kes is an Ocampa crew member of the starship Voyager whose rapidly growing psychic abilities force her to confront the temptation of greater power and reaffirm her commitment to her human and alien shipmates.

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

Target predicate: mainCharacterArc
Context triple: [Cold Fire, mainCharacterArc, Kes struggles to control her expanding mental powers and chooses loyalty to Voyager over a more powerful Ocampa community.]

A. characterArc chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
B. characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
C. characterArcContinuation
Indicates that a character’s development or transformation in the narrative continues from a previous point or installment, maintaining coherence and progression in their storyline.
D. affectsCharacterArc
Indicates that one event, action, or element causes a meaningful change or development in a character’s personal journey or growth over the course of the story.
E. characterArcOutcome
Indicates the resulting change, resolution, or final state of a character’s personal journey or development over the course of a narrative.
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_69fd37b695c88190855801626f91c4cd`	completed	May 8, 2026, 1:09 a.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_69fd374cccf08190a230e87164af5938`	completed	May 8, 2026, 1:07 a.m.

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