Triple

T26631704

Position	Surface form	Disambiguated ID	Type / Status
Subject	Doug E. Doug	`E668513`	entity
Predicate	notableWork	`P4`	FINISHED
Object	Hangin' with the Homeboys Hangin' with the Homeboys is a 1991 coming-of-age comedy-drama film that follows a group of young Latino and Black friends over the course of one night in the Bronx as they confront issues of identity, friendship, and aspiration.	`E1734047`	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: Hangin' with the Homeboys | Statement: [Doug E. Doug, notableWork, Hangin' with the Homeboys]

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: Hangin' with the Homeboys
Triple: [Doug E. Doug, notableWork, Hangin' with the Homeboys]

Generated description

Hangin' with the Homeboys is a 1991 coming-of-age comedy-drama film that follows a group of young Latino and Black friends over the course of one night in the Bronx as they confront issues of identity, friendship, and aspiration.

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_69ee9d0024b8819090a7c8cf669a3b6c`	completed	April 26, 2026, 11:17 p.m.
NER	Named-entity recognition	`batch_69f615ee0ff48190a1f63d26cb7aa9f9`	completed	May 2, 2026, 3:19 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a11ec383c5881909a3834d581192625`	completed	May 23, 2026, 6:04 p.m.
NEDg	Description generation	`batch_6a11ecf53a20819083a0f23be7d859a4`	completed	May 23, 2026, 6:07 p.m.
NED2	Entity disambiguation (via description)	`batch_6a11edac59388190bfa4e3e288b7932e`	completed	May 23, 2026, 6:10 p.m.

Created at: April 27, 2026, 2:25 a.m.