Triple

T8189886
Position Surface form Disambiguated ID Type / Status
Subject Meera Syal E191276 entity
Predicate givenName P17 FINISHED
Object Meera
Meera is a given name most notably associated with British comedian, writer, and actress Meera Syal.
 E718192 NE FINISHED

How this triple was built (4 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: Meera | Statement: [Meera Syal, givenName, Meera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meera
Context triple: [Meera Syal, givenName, Meera]
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Rukmini
    Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
  • C. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • D. Hidimbi
    Hidimbi is a rakshasi (demoness) from the Indian epic Mahabharata who marries the Pandava prince Bhima and becomes the mother of the warrior Ghatotkacha.
  • E. Subhadrangi
    Subhadrangi is traditionally regarded as the mother of the Mauryan emperor Ashoka and is often identified in Buddhist texts as a queen of modest origins who became an important figure in his early life.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Meera
Triple: [Meera Syal, givenName, Meera]
Generated description
Meera is a given name most notably associated with British comedian, writer, and actress Meera Syal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meera
Target entity description: Meera is a given name most notably associated with British comedian, writer, and actress Meera Syal.
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Rukmini
    Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
  • C. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • D. Hidimbi
    Hidimbi is a rakshasi (demoness) from the Indian epic Mahabharata who marries the Pandava prince Bhima and becomes the mother of the warrior Ghatotkacha.
  • E. Subhadrangi
    Subhadrangi is traditionally regarded as the mother of the Mauryan emperor Ashoka and is often identified in Buddhist texts as a queen of modest origins who became an important figure in his early life.
  • F. None of above. chosen

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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da0e1288190b9c7c1d3b9a98830 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced8da28c81909c34c0103da68f0f completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf1b5f95481909fdb08d00d06023e completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:41 p.m.