Triple

T29280344

Position	Surface form	Disambiguated ID	Type / Status
Subject	Jenny Was a Friend of Mine	`E742357`	entity
Predicate	hasTitleCharacter	`P5716`	FINISHED
Object	Jenny Jenny is the titular friend referenced in the Killers’ song “Jenny Was a Friend of Mine,” central to its narrative of a troubled relationship and implied crime.	`E1862996`	NE FINISHED

How this triple was built (2 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: Jenny | Statement: [Jenny Was a Friend of Mine, hasTitleCharacter, Jenny]

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: Jenny
Triple: [Jenny Was a Friend of Mine, hasTitleCharacter, Jenny]

Generated description

Jenny is the titular friend referenced in the Killers’ song “Jenny Was a Friend of Mine,” central to its narrative of a troubled relationship and implied crime.

Provenance (5 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_69f09121ed8c8190b4cb27be3619c262`	completed	April 28, 2026, 10:51 a.m.
NER	Named-entity recognition	`batch_69f66514b8f8819083154cabcfc0efaa`	completed	May 2, 2026, 8:56 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a25a856fa208190a0141fbccbe92c46`	completed	June 7, 2026, 5:20 p.m.
NEDg	Description generation	`batch_6a25ac72cc788190bd95421cb6bf4897`	completed	June 7, 2026, 5:37 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25b13b60088190bfe08fd65547a593`	completed	June 7, 2026, 5:58 p.m.

Created at: April 28, 2026, 12:54 p.m.