Triple

T15944976
Position Surface form Disambiguated ID Type / Status
Subject Gimira E386660 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Benc
Benc is an alternative spelling of the Gimira people, an ethnic group primarily residing in southwestern Ethiopia.
E1185219 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: Benc | Statement: [Gimira, hasAlternativeSpelling, Benc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benc
Context triple: [Gimira, hasAlternativeSpelling, Benc]
  • A. BEN
    BEN is the three-letter IATA airport code assigned to Benina International Airport serving Benghazi, Libya.
  • B. Benn
    Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
  • C. Bennie
    Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
  • D. Benni
    Benni is the volatile, traumatized young girl at the center of the German drama film "System Crasher," portrayed by Helena Zengel.
  • E. Ben Benny
    Ben Benny is an alternate or lesser-known name associated with the American folklore giant Paul Bunyan.
  • 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: Benc
Triple: [Gimira, hasAlternativeSpelling, Benc]
Generated description
Benc is an alternative spelling of the Gimira people, an ethnic group primarily residing in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benc
Target entity description: Benc is an alternative spelling of the Gimira people, an ethnic group primarily residing in southwestern Ethiopia.
  • A. BEN
    BEN is the three-letter IATA airport code assigned to Benina International Airport serving Benghazi, Libya.
  • B. Benn
    Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
  • C. Bennie
    Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
  • D. Benni
    Benni is the volatile, traumatized young girl at the center of the German drama film "System Crasher," portrayed by Helena Zengel.
  • E. Ben Benny
    Ben Benny is an alternate or lesser-known name associated with the American folklore giant Paul Bunyan.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:53 a.m.