Triple

T4705272
Position Surface form Disambiguated ID Type / Status
Subject Alma Thomas E104378 entity
Predicate givenName P17 FINISHED
Object Alma
Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
E462179 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: Alma | Statement: [Alma Thomas, givenName, Alma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alma
Context triple: [Alma Thomas, givenName, Alma]
  • A. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • B. Alma
    Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
  • C. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • D. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • E. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • 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: Alma
Triple: [Alma Thomas, givenName, Alma]
Generated description
Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alma
Target entity description: Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
  • A. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • B. Alma
    Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
  • C. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • D. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • E. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63e808c88190877e98408498fb62 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03d074348190a19092fa02a0bb39 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be050e0f488190804c512e7cc17c56 completed March 21, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69be05a6bed081909c8d8830fb103610 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.