Triple

T10344924
Position Surface form Disambiguated ID Type / Status
Subject George Engelmann E243719 entity
Predicate botanistAuthorAbbreviation P30327 FINISHED
Object Engelm.
Engelm. is the standard botanical author abbreviation used to indicate that a plant name was first validly published by the German-American botanist George Engelmann.
 E857271 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: Engelm. | Statement: [George Engelmann, botanistAuthorAbbreviation, Engelm.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engelm.
Context triple: [George Engelmann, botanistAuthorAbbreviation, Engelm.]
  • A. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • B. Enger
    Enger is a small historic town in North Rhine-Westphalia, Germany, traditionally associated with the medieval County of Ravensberg and the legendary Saxon leader Widukind.
  • C. Egge
    Egge was a former municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
  • D. Engel
    Engel is a German-origin surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • E. Englert
    Englert is a Belgian theoretical physicist renowned for his work on the Brout–Englert–Higgs mechanism, which underpins the modern understanding of how particles acquire mass.
  • 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: Engelm.
Triple: [George Engelmann, botanistAuthorAbbreviation, Engelm.]
Generated description
Engelm. is the standard botanical author abbreviation used to indicate that a plant name was first validly published by the German-American botanist George Engelmann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engelm.
Target entity description: Engelm. is the standard botanical author abbreviation used to indicate that a plant name was first validly published by the German-American botanist George Engelmann.
  • A. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • B. Enger
    Enger is a small historic town in North Rhine-Westphalia, Germany, traditionally associated with the medieval County of Ravensberg and the legendary Saxon leader Widukind.
  • C. Egge
    Egge was a former municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
  • D. Engel
    Engel is a German-origin surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • E. Englert
    Englert is a Belgian theoretical physicist renowned for his work on the Brout–Englert–Higgs mechanism, which underpins the modern understanding of how particles acquire mass.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9228cd88190bcd94b85537233c1 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7507f708c8190b8cf684704a6e47d completed April 9, 2026, 7:08 a.m.
NEDg Description generation batch_69d751ab890c8190b1549619049dab91 completed April 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69d7619e97588190a1443f9438c6efc0 completed April 9, 2026, 8:21 a.m.
Created at: April 6, 2026, 11:56 a.m.