Triple

T36696958

Position	Surface form	Disambiguated ID	Type / Status
Subject	Wonder Woman: The Hiketeia	`E906116`	entity
Predicate	featuresPursuedCharacter	`P57748`	FINISHED
Object	Danielle Wellys Danielle Wellys is a central character in the graphic novel "Wonder Woman: The Hiketeia," whose plight and pursuit drive much of the story’s conflict.	`E2198015`	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: Danielle Wellys | Statement: [Wonder Woman: The Hiketeia, featuresPursuedCharacter, Danielle Wellys]

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: Danielle Wellys
Triple: [Wonder Woman: The Hiketeia, featuresPursuedCharacter, Danielle Wellys]

Generated description

Danielle Wellys is a central character in the graphic novel "Wonder Woman: The Hiketeia," whose plight and pursuit drive much of the story’s conflict.

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

Target predicate: featuresPursuedCharacter
Context triple: [Wonder Woman: The Hiketeia, featuresPursuedCharacter, Danielle Wellys]

A. featuresCharacterWith
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
B. featuresReturningCharacterFrom
Indicates that a work includes the reappearance of a character who previously appeared in the referenced source work.
C. pursuingCharacter chosen
Indicates that one character is actively chasing, seeking, or attempting to catch or reach another character.
D. featuresCharacterRole
Indicates that a work includes a character appearing in a specific narrative or functional role.
E. featuresCharacterRescue
Indicates that a work includes a scene or storyline in which one character rescues or saves another.
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_69f76e70d2448190bdd3ce781ba971c5`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a037c8e2c648190a65fc9c7872861af`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3c17227f3c81909806d7ba96ca3467`	completed	June 24, 2026, 5:42 p.m.
NEDg	Description generation	`batch_6a3c19cc0c2c81909a12ddec74a6ccf0`	completed	June 24, 2026, 5:54 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3c576fcfe08190a6457bd81d1659a0`	completed	June 24, 2026, 10:17 p.m.
PD	Predicate disambiguation	`batch_6a037a0e039481908a4a2666f76c5363`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:12 p.m.