Triple

T1390290
Position Surface form Disambiguated ID Type / Status
Subject Higgs field E29938 entity
Predicate isPredictedBy P23826 FINISHED
Object Tom Kibble E75928 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: Tom Kibble | Statement: [Higgs field, isPredictedBy, Tom Kibble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Kibble
Context triple: [Higgs field, isPredictedBy, Tom Kibble]
  • A. Tom Kibble chosen
    Tom Kibble was a British theoretical physicist renowned for his pioneering work on spontaneous symmetry breaking and the Higgs mechanism in particle physics.
  • B. Robert Leighton
    Robert Leighton is a film editor known for his work on notable movies including the baseball romantic comedy "Bull Durham."
  • C. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • D. Mark Oliphant
    Mark Oliphant was an Australian physicist and pioneer in nuclear physics who played a key role in early atomic research and the development of radar and particle accelerators.
  • E. Donald Davies
    Donald Davies was a British computer scientist who pioneered the concept of packet switching, a foundational technology for modern computer networks and the internet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35e023c8190b45688796d90534b completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08ac24948190b85c8e38b34509c9 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:59 p.m.