Triple

T8189887
Position Surface form Disambiguated ID Type / Status
Subject Meera Syal E191276 entity
Predicate familyName P18 FINISHED
Object Syal
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
 E718193 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: Syal | Statement: [Meera Syal, familyName, Syal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Syal
Context triple: [Meera Syal, familyName, Syal]
  • A. Sittas
    Sittas was a prominent Byzantine general and close associate of Emperor Justinian I, noted for his campaigns against the Sassanid Persians and other foes in the early 6th century.
  • B. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • C. Yarmy
    Yarmy is the birth surname of American comedian and actor Don Adams, best known for starring as Maxwell Smart in the television series "Get Smart."
  • D. Tigery
    Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Shula
    Shula is a surname most famously associated with Don Shula, the legendary NFL coach of the Miami Dolphins.
  • 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: Syal
Triple: [Meera Syal, familyName, Syal]
Generated description
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Syal
Target entity description: Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
  • A. Sittas
    Sittas was a prominent Byzantine general and close associate of Emperor Justinian I, noted for his campaigns against the Sassanid Persians and other foes in the early 6th century.
  • B. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • C. Yarmy
    Yarmy is the birth surname of American comedian and actor Don Adams, best known for starring as Maxwell Smart in the television series "Get Smart."
  • D. Tigery
    Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Shula
    Shula is a surname most famously associated with Don Shula, the legendary NFL coach of the Miami Dolphins.
  • 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.