Triple

T20874655
Position Surface form Disambiguated ID Type / Status
Subject Selma E513986 entity
Predicate hasVariant P455 FINISHED
Object Selmah
Selmah is a less common spelling variant of the given name Selma, used as a feminine first name in various cultures.
 E1456247 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: Selmah | Statement: [Selma, hasVariant, Selmah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Selmah
Context triple: [Selma, hasVariant, Selmah]
  • A. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • B. Sollum
    Sollum is a small coastal town in northwestern Egypt near the Libyan border that has historically served as a strategic military and trading point, particularly during World War II.
  • C. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • D. Sulem
    Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
  • E. Melgueil
    Melgueil is a historic locality in southern France, traditionally associated with a medieval county and noble lineage.
  • 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: Selmah
Triple: [Selma, hasVariant, Selmah]
Generated description
Selmah is a less common spelling variant of the given name Selma, used as a feminine first name in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Selmah
Target entity description: Selmah is a less common spelling variant of the given name Selma, used as a feminine first name in various cultures.
  • A. Shandar
    Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
  • B. Sollum
    Sollum is a small coastal town in northwestern Egypt near the Libyan border that has historically served as a strategic military and trading point, particularly during World War II.
  • C. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • D. Sulem
    Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
  • E. Melgueil
    Melgueil is a historic locality in southern France, traditionally associated with a medieval county and noble lineage.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c674075081909e0819b20bdbb7f4 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918c3777c819089b5b31b88b747e1 completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a091971e5308190acdf4a65b1e67118 completed May 17, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0919f58008819097e05a187ed4b3de completed May 17, 2026, 1:29 a.m.
Created at: April 16, 2026, 12:45 p.m.