Triple

T2251706
Position Surface form Disambiguated ID Type / Status
Subject Catherine Vance Freeman E49630 entity
Predicate familyName P18 FINISHED
Object Freeman E178786 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: Freeman | Statement: [Catherine Vance Freeman, familyName, Freeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freeman
Context triple: [Catherine Vance Freeman, familyName, Freeman]
  • A. Freeman
    Freeman Dyson was a renowned theoretical physicist and mathematician known for his work in quantum electrodynamics, solid-state physics, and futurist writings.
  • B. Freeman chosen
    Freeman is a common English surname borne by numerous notable individuals, including acclaimed American actor and narrator Morgan Freeman.
  • C. Freeman
    Freeman is the individual after whom the Freeman Scholar Award is named, recognized for significant contributions in their field that inspired the creation of this honor.
  • D. Wilmot Reed
    Wilmot Reed is the given first and middle name of Reed Hastings, the American entrepreneur best known as the co-founder and former CEO of Netflix.
  • E. Hudson Fysh
    Hudson Fysh was an Australian aviator and businessman best known as a co-founder and long-serving leader of Qantas, helping to establish it as a major international airline.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11d04688190abc04fac3a1804a9 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1bc424819087b2ce9a6256a180 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.