Triple

T3586773
Position Surface form Disambiguated ID Type / Status
Subject Tom Kibble E75928 entity
Predicate familyName P18 FINISHED
Object Kibble
Kibble is a surname most notably associated with British theoretical physicist Tom Kibble, known for his work on the Higgs mechanism and spontaneous symmetry breaking.
 E371523 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: Kibble | Statement: [Tom Kibble, familyName, Kibble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kibble
Context triple: [Tom Kibble, familyName, Kibble]
  • A. Chow
    Chow is a common Chinese surname borne by many notable individuals across various fields worldwide.
  • B. Priller
    Priller is a German surname most notably associated with Josef Priller, a famous Luftwaffe fighter ace of World War II.
  • C. Kock
    Kock is a town in eastern Poland known for being the site of the final major battle of the September 1939 campaign during World War II.
  • D. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • E. Tukkies
    Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
  • 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: Kibble
Triple: [Tom Kibble, familyName, Kibble]
Generated description
Kibble is a surname most notably associated with British theoretical physicist Tom Kibble, known for his work on the Higgs mechanism and spontaneous symmetry breaking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kibble
Target entity description: Kibble is a surname most notably associated with British theoretical physicist Tom Kibble, known for his work on the Higgs mechanism and spontaneous symmetry breaking.
  • A. Chow
    Chow is a common Chinese surname borne by many notable individuals across various fields worldwide.
  • B. Priller
    Priller is a German surname most notably associated with Josef Priller, a famous Luftwaffe fighter ace of World War II.
  • C. Kock
    Kock is a town in eastern Poland known for being the site of the final major battle of the September 1939 campaign during World War II.
  • D. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • E. Tukkies
    Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc137eb708190809cd52b6deb227c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030088548190adbb029be1caeb81 completed March 13, 2026, 12:28 p.m.
NEDg Description generation batch_69b406d014d88190b488b9b1f70fecca completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b40872099c81909bc3531bea77f875 completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.