Triple

T24722046

Position	Surface form	Disambiguated ID	Type / Status
Subject	Can’t Be Friends	`E612329`	entity
Predicate	noteOnJohntaAustinCredit	`P156192`	FINISHED
Object	Johntá Austin is sometimes informally or erroneously listed as a writer, but standard official songwriting credits for "Can’t Be Friends" do not include him. Johntá Austin is an American singer-songwriter and producer best known for penning numerous R&B and pop hits for artists such as Mariah Carey, Mary J. Blige, and Aaliyah.	`E1647337`	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: Johntá Austin is sometimes informally or erroneously listed as a writer, but standard official songwriting credits for "Can’t Be Friends" do not include him. | Statement: [Can’t Be Friends, noteOnJohntaAustinCredit, Johntá Austin is sometimes informally or erroneously listed as a writer, but standard official songwriting credits for "Can’t Be Friends" do not include him.]

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: Johntá Austin is sometimes informally or erroneously listed as a writer, but standard official songwriting credits for "Can’t Be Friends" do not include him.
Triple: [Can’t Be Friends, noteOnJohntaAustinCredit, Johntá Austin is sometimes informally or erroneously listed as a writer, but standard official songwriting credits for "Can’t Be Friends" do not include him.]

Generated description

Johntá Austin is an American singer-songwriter and producer best known for penning numerous R&B and pop hits for artists such as Mariah Carey, Mary J. Blige, and Aaliyah.

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

Target predicate: noteOnJohntaAustinCredit
Context triple: [Can’t Be Friends, noteOnJohntaAustinCredit, Johntá Austin is sometimes informally or erroneously listed as a writer, but standard official songwriting credits for "Can’t Be Friends" do not include him.]

A. hasCreditRating
Indicates that an entity is assigned a formal assessment of its creditworthiness, typically expressed as a credit score or rating.
B. hasNotableCredit
Indicates that an entity is recognized for having a significant or noteworthy contribution, role, or acknowledgment associated with it.
C. hasBureau
Indicates that an entity is associated with or possesses a specific bureau, such as an office, department, or administrative unit.
D. creditQualityInfluencedBy
Indicates that the credit quality of one entity is affected or determined by another factor or entity.
E. usedAsCreditOn chosen
Indicates that something is acknowledged or listed as a credit on something else, such as in an attribution, acknowledgment, or contributor listing.
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_69e2d7d6e7a48190bb43b0d8bb1137a0`	completed	April 18, 2026, 1:01 a.m.
NER	Named-entity recognition	`batch_69f410fe3b848190ae296a29f742ee30`	completed	May 1, 2026, 2:33 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a101017caa8819088e8d8e1c4018736`	completed	May 22, 2026, 8:13 a.m.
NEDg	Description generation	`batch_6a10136d2c448190918a7eeb751a2a84`	completed	May 22, 2026, 8:27 a.m.
NED2	Entity disambiguation (via description)	`batch_6a101436b0008190a5e27291df640af5`	completed	May 22, 2026, 8:30 a.m.
PD	Predicate disambiguation	`batch_69f40ee8ada8819089a7016b50308ff0`	completed	May 1, 2026, 2:24 a.m.

Created at: April 18, 2026, 3:41 a.m.