Triple

T9204264
Position Surface form Disambiguated ID Type / Status
Subject Henry Austin E220929 entity
Predicate name P16 FINISHED
Object Henry Austin E220929 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: Henry Austin | Statement: [Henry Austin, name, Henry Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Austin
Context triple: [Henry Austin, name, Henry Austin]
  • A. Henry Austin chosen
    Henry Austin was a prominent 19th-century American architect known for his eclectic designs and significant contributions to Victorian-era architecture, particularly in New England.
  • B. William Austin
    William Austin is a film editor known for his work on the movie "Shotgun."
  • C. Charles Wylie
    Charles Wylie was a British mountaineer and army officer known for his role in early post-war Himalayan expeditions, including the 1953 British attempt on Mount Everest.
  • D. Henry Baldwin
    Henry Baldwin was an Associate Justice of the U.S. Supreme Court in the early 19th century, known for his often idiosyncratic and independent judicial opinions.
  • E. Charles Hackley
    Charles Hackley was a prominent 19th-century lumber baron and philanthropist from Muskegon, Michigan, known for his significant contributions to the city’s cultural and educational institutions.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd945f37881909f0d30eeb6a7a3ad completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f36f72bc8190bf195a78bafcd873 completed April 4, 2026, 11:18 a.m.
Created at: March 30, 2026, 7:26 p.m.