Triple

T8707864
Position Surface form Disambiguated ID Type / Status
Subject Noÿs Lambent E206693 entity
Predicate associatedWith P37 FINISHED
Object Andrew Harlan E235798 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: Andrew Harlan | Statement: [Noÿs Lambent, associatedWith, Andrew Harlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Harlan
Context triple: [Noÿs Lambent, associatedWith, Andrew Harlan]
  • A. Andrew Harlan chosen
    Andrew Harlan is the time-manipulating Technician protagonist of Isaac Asimov’s science fiction novel "The End of Eternity."
  • B. Lewis Burwell
    Lewis Burwell is a name shared by several prominent figures in colonial Virginia history, including influential planters and politicians.
  • C. John Randolph Tucker
    John Randolph Tucker was a 19th-century American lawyer, law professor, and Democratic politician who served as Attorney General of Virginia and later as a U.S. Representative.
  • D. Fred C. Dobbs
    Fred C. Dobbs is the desperate, increasingly paranoid prospector at the center of the 1948 film "The Treasure of the Sierra Madre."
  • E. Robert Folsom
    Robert Folsom was an American businessman and civic leader who served as mayor of Dallas, Texas, during the late 1970s and early 1980s, overseeing significant urban development and growth.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58ffa6a481908866b6239d1d9b92 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28b78e90819098ab1d4877ab88fe completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:35 p.m.