Triple

T25654034
Position Surface form Disambiguated ID Type / Status
Subject Madhabi Mukherjee as Charulata E643179 entity
Predicate characterRelativeByMarriage P167266 FINISHED
Object Amal NE NERFINISHED

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: Amal | Statement: [Madhabi Mukherjee as Charulata, characterRelativeByMarriage, Amal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterRelativeByMarriage
Context triple: [Madhabi Mukherjee as Charulata, characterRelativeByMarriage, Amal]
  • A. maritalRelations
    Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
  • B. connectedThroughMarriageVia
    Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
  • C. characterMaritalHistory
    Indicates a relationship that records the sequence of a character’s past and present marital relationships, including spouses and relevant time periods.
  • D. marriedBy
    Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
  • E. marriedToRank
    Indicates that one entity is married to another entity who holds a specific rank or position.
  • F. None of above. chosen

Provenance (4 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_69e77e7d8a848190a98d0162325fd780 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f66a6468ec8190a43ed6cd8c797f42 completed May 2, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69f66598d6008190a7ca8ff80399fd34 completed May 2, 2026, 8:59 p.m.
PDg Predicate description generation batch_69f6691da93081909deaf680614fc900 completed May 2, 2026, 9:14 p.m.
Created at: April 21, 2026, 6:31 p.m.