Triple

T11132724
Position Surface form Disambiguated ID Type / Status
Subject Murray Wier E263326 entity
Predicate familyName P18 FINISHED
Object Wier
Wier is a surname most notably associated with American basketball player Murray Wier, a standout collegiate scorer in the 1940s.
 E907848 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: Wier | Statement: [Murray Wier, familyName, Wier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wier
Context triple: [Murray Wier, familyName, Wier]
  • A. Wiske
    Wiske is a small river in North Yorkshire, England, known as one of the tributaries feeding into the River Swale.
  • B. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • C. Weyer
    Weyer is a village and district within the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • D. Wipper
    The Wipper is a river in central Germany that flows through the Kyffhäuserkreis district and ultimately feeds into the Unstrut.
  • E. Wilkasy
    Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
  • 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: Wier
Triple: [Murray Wier, familyName, Wier]
Generated description
Wier is a surname most notably associated with American basketball player Murray Wier, a standout collegiate scorer in the 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wier
Target entity description: Wier is a surname most notably associated with American basketball player Murray Wier, a standout collegiate scorer in the 1940s.
  • A. Wiske
    Wiske is a small river in North Yorkshire, England, known as one of the tributaries feeding into the River Swale.
  • B. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • C. Weyer
    Weyer is a village and district within the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • D. Wipper
    The Wipper is a river in central Germany that flows through the Kyffhäuserkreis district and ultimately feeds into the Unstrut.
  • E. Wilkasy
    Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441e6b72881908f8288e99df0cb7c completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.