Triple

T4039202
Position Surface form Disambiguated ID Type / Status
Subject Barry M. Trost E83902 entity
Predicate familyName P18 FINISHED
Object Trost
Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
 E408413 NE FINISHED

How this triple was built (4 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: Trost | Statement: [Barry M. Trost, familyName, Trost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trost
Context triple: [Barry M. Trost, familyName, Trost]
  • A. Troost
    Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
  • B. Trauen
    Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
  • C. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • D. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trost
Triple: [Barry M. Trost, familyName, Trost]
Generated description
Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trost
Target entity description: Trost is a surname most notably associated with Barry M. Trost, an influential American chemist known for his work in organic synthesis and the concept of atom economy.
  • A. Troost
    Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
  • B. Trauen
    Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
  • C. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • D. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • F. None of above. chosen

Provenance (5 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.