Triple

T6474391
Position Surface form Disambiguated ID Type / Status
Subject William Hyde Wollaston E146033 entity
Predicate familyName P18 FINISHED
Object Wollaston
Wollaston is an English surname most notably associated with William Hyde Wollaston, the chemist and physicist who discovered the elements palladium and rhodium.
 E595643 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: Wollaston | Statement: [William Hyde Wollaston, familyName, Wollaston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wollaston
Context triple: [William Hyde Wollaston, familyName, Wollaston]
  • A. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • B. Lapworth
    Lapworth is an English surname most notably associated with Charles Lapworth, a pioneering geologist known for his work on Ordovician stratigraphy.
  • C. Moseley
    Moseley is a surname most notably associated with Jonny Moseley, the American Olympic gold medal–winning freestyle skier.
  • D. Daubeny
    Daubeny is an English surname derived from the Norman French family name d’Aubigny.
  • E. Warburton
    Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
  • 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: Wollaston
Triple: [William Hyde Wollaston, familyName, Wollaston]
Generated description
Wollaston is an English surname most notably associated with William Hyde Wollaston, the chemist and physicist who discovered the elements palladium and rhodium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wollaston
Target entity description: Wollaston is an English surname most notably associated with William Hyde Wollaston, the chemist and physicist who discovered the elements palladium and rhodium.
  • A. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • B. Lapworth
    Lapworth is an English surname most notably associated with Charles Lapworth, a pioneering geologist known for his work on Ordovician stratigraphy.
  • C. Moseley
    Moseley is a surname most notably associated with Jonny Moseley, the American Olympic gold medal–winning freestyle skier.
  • D. Daubeny
    Daubeny is an English surname derived from the Norman French family name d’Aubigny.
  • E. Warburton
    Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a32c0188190bcb3c35fc1d796a6 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a2b2508190a3691412f853ed6f completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6552b90848190961250b1e64595e1 completed March 27, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69c655bce7548190b4c5661a7aaa77e1 completed March 27, 2026, 10:02 a.m.
Created at: March 22, 2026, 4:50 p.m.