Triple

T8492473
Position Surface form Disambiguated ID Type / Status
Subject Foundation universe E201005 entity
Predicate hasCharacter P2308 FINISHED
Object Gaal Dornick E735907 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: Gaal Dornick | Statement: [Foundation universe, hasCharacter, Gaal Dornick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaal Dornick
Context triple: [Foundation universe, hasCharacter, Gaal Dornick]
  • A. Gaal Dornick chosen
    Gaal Dornick is a young mathematician and key disciple of Hari Seldon in Isaac Asimov’s Foundation series, whose involvement with psychohistory helps set the saga’s events in motion.
  • B. Augie Hess
    Augie Hess is an editor known for working on the film "Rules of Engagement."
  • C. Jan Porcellis
    Jan Porcellis was a prominent Dutch Golden Age marine painter renowned for his atmospheric seascapes and innovative treatment of light and weather.
  • D. Augie Blunt
    Augie Blunt was an American character actor known for supporting roles in film and television during the late 20th century.
  • E. Quentin Jacobsen
    Quentin Jacobsen is the introspective teenage protagonist of John Green’s novel "Paper Towns," whose search for his enigmatic neighbor Margo Roth Spiegelman drives the story’s coming-of-age journey.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe55cf5dc81908cad31ac53e15b46 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4df8f78c81908c83d7d5ac996504 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:13 p.m.