Triple

T14384237
Position Surface form Disambiguated ID Type / Status
Subject Anjli Mohindra E356681 entity
Predicate appearedIn P795 FINISHED
Object The Boy with the Topknot E352982 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: The Boy with the Topknot | Statement: [Anjli Mohindra, appearedIn, The Boy with the Topknot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Boy with the Topknot
Context triple: [Anjli Mohindra, appearedIn, The Boy with the Topknot]
  • A. The Boy with the Topknot chosen
    The Boy with the Topknot is a British television drama film adapted from Sathnam Sanghera’s memoir, exploring family, identity, and mental health within a British-Punjabi Sikh community.
  • B. Momo
    Momo is a Japanese singer, rapper, and main dancer best known as a member of the South Korean girl group Twice.
  • C. Momo
    Momo is the young, troubled Jewish boy who forms a transformative friendship with the elderly Muslim shopkeeper in Éric-Emmanuel Schmitt’s novella *Monsieur Ibrahim and the Flowers of the Koran*.
  • D. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • E. The Boy
    The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900d28c88190a37feee4743563de completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc0c9708190b5025e9675e0e925 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.