Triple

T35114508
Position Surface form Disambiguated ID Type / Status
Subject Aparna E1013395 entity
Predicate formsAttachmentTo P192807 FINISHED
Object Pranab Kaku
Pranab Kaku is a significant adult figure in Aparna’s life, likely a close family friend or relative to whom she develops a deep emotional attachment.
 E1011047 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: Pranab Kaku | Statement: [Aparna, formsAttachmentTo, Pranab Kaku]
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: Pranab Kaku
Triple: [Aparna, formsAttachmentTo, Pranab Kaku]
Generated description
Pranab Kaku is a significant adult figure in Aparna’s life, likely a close family friend or relative to whom she develops a deep emotional attachment.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formsAttachmentTo
Context triple: [Aparna, formsAttachmentTo, Pranab Kaku]
  • A. attachmentType
    Indicates the specific kind or category of attachment that relates one entity to another.
  • B. supportsAttachmentTo
    Indicates that one entity provides a structural or functional basis for another entity to be attached or affixed to it.
  • C. developsAttachmentTo
    Indicates that one entity forms an emotional bond or sense of connection toward another entity.
  • D. supportsAttachments
    Indicates that the subject is capable of handling or allowing the inclusion of file or data attachments in its operation or context.
  • E. templateAttachment
    Indicates that one entity is attached to or associated with another as a reusable template or predefined pattern.
  • F. None of above. chosen

Provenance (7 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_69f76dd659d08190bcdc00d37caafb62 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd2a215d6c8190a1a428ccaee603f1 completed May 8, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37d001b9e48190952a6a89f0a367d6 completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d0d87cb8819082b804408f770344 completed June 21, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a37d27071148190a87244ce780582c3 completed June 21, 2026, noon
PD Predicate disambiguation batch_69fd28ef19688190bb8370f2812a43e7 completed May 8, 2026, 12:06 a.m.
PDg Predicate description generation batch_69fd2a2095f88190bfcbcb2973516ffc completed May 8, 2026, 12:11 a.m.
Created at: May 3, 2026, 4:01 p.m.