Triple

T30534874
Position Surface form Disambiguated ID Type / Status
Subject Simon Gray E777112 entity
Predicate wrote P2831 FINISHED
Object An Unnatural Pursuit
An Unnatural Pursuit is a memoir by British playwright Simon Gray that offers a candid, often darkly comic account of his experiences bringing one of his plays to the stage.
 E1919317 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: An Unnatural Pursuit | Statement: [Simon Gray, wrote, An Unnatural Pursuit]
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: An Unnatural Pursuit
Triple: [Simon Gray, wrote, An Unnatural Pursuit]
Generated description
An Unnatural Pursuit is a memoir by British playwright Simon Gray that offers a candid, often darkly comic account of his experiences bringing one of his plays to the stage.

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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6885006ac8190aaebc1df58373d95 completed May 2, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be81f03c8190874293df30769b4e completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c0a62c508190b40eca87b6bef1a2 completed June 9, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a27c10324348190a44216514590a529 completed June 9, 2026, 7:30 a.m.
Created at: April 29, 2026, 8:18 p.m.