Triple

T23642105

Position	Surface form	Disambiguated ID	Type / Status
Subject	Pritam Chakraborty	`E583926`	entity
Predicate	notableSongComposed	`P36596`	FINISHED
Object	Tum Hi Ho Bandhu "Tum Hi Ho Bandhu" is a popular Hindi film song, known for its catchy melody and upbeat, celebratory vibe, from the Bollywood movie Cocktail.	`E1595162`	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: Tum Hi Ho Bandhu | Statement: [Pritam Chakraborty, notableSongComposed, Tum Hi Ho Bandhu]

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: Tum Hi Ho Bandhu
Triple: [Pritam Chakraborty, notableSongComposed, Tum Hi Ho Bandhu]

Generated description

"Tum Hi Ho Bandhu" is a popular Hindi film song, known for its catchy melody and upbeat, celebratory vibe, from the Bollywood movie Cocktail.

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

Target predicate: notableSongComposed
Context triple: [Pritam Chakraborty, notableSongComposed, Tum Hi Ho Bandhu]

A. notableComposition chosen
Indicates that an entity is a significant or well-known work created by another entity, such as a notable musical, literary, or artistic composition.
B. notableSongWrittenFor
Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
C. notableWorkComposedWith
Indicates that a notable work was created using, in collaboration with, or through the involvement of a particular tool, medium, system, or co-creative entity.
D. notableSongContributions
Indicates that an entity has made significant creative or performance contributions to one or more songs.
E. notableSongAssociations
Indicates that there are notable or significant associations between an entity and specific songs, such as being referenced by, inspiring, or otherwise prominently linked to those songs.
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_69e248fefafc81909656921192f30e80`	completed	April 17, 2026, 2:51 p.m.
NER	Named-entity recognition	`batch_69f1b28152108190972ac680cba986d7`	completed	April 29, 2026, 7:25 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f45a6c55881908b4e49da244417cc`	completed	May 21, 2026, 5:49 p.m.
NEDg	Description generation	`batch_6a0f47d607188190974666bddb39c7cf`	completed	May 21, 2026, 5:58 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f484988d081909280fe863dc80e30`	completed	May 21, 2026, 6 p.m.
PD	Predicate disambiguation	`batch_69f118d7903c8190bb590a71771e93af`	completed	April 28, 2026, 8:30 p.m.

Created at: April 17, 2026, 6:48 p.m.