Triple

T3842403
Position Surface form Disambiguated ID Type / Status
Subject Joseph H. Pendleton E93480 entity
Predicate familyName P18 FINISHED
Object Pendleton E37550 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: Pendleton | Statement: [Joseph H. Pendleton, familyName, Pendleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pendleton
Context triple: [Joseph H. Pendleton, familyName, Pendleton]
  • A. Pendleton chosen
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • B. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • C. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • D. Wilmot
    Wilmot is the given first name of Hudson Fysh, the Australian aviation pioneer and co-founder of Qantas.
  • E. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.