Triple

T22091292
Position Surface form Disambiguated ID Type / Status
Subject Samantha E545917 entity
Predicate hasStressPattern P4253 FINISHED
Object sa-MAN-tha
sa-MAN-tha is the standard English pronunciation of the given name "Samantha," with primary stress on the second syllable.
E1519104 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: sa-MAN-tha | Statement: [Samantha, hasStressPattern, sa-MAN-tha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: sa-MAN-tha
Context triple: [Samantha, hasStressPattern, sa-MAN-tha]
  • A. Sanamahi
    Sanamahi is a principal household and creator deity in the traditional Meitei religion of Manipur, revered as a protector of families and the universe.
  • B. Mansaka
    Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
  • C. Mannanan
    Mannanan is a high-speed catamaran ferry operated by the Isle of Man Steam Packet Company on routes linking the Isle of Man with ports in the British Isles.
  • D. Bamanankan
    Bamanankan is a Mande language widely spoken in Mali and neighboring West African countries, particularly by the Bambara people.
  • E. MaNa
    MaNa is a professional StarCraft II player known for competing at the highest levels of international esports tournaments.
  • 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: sa-MAN-tha
Triple: [Samantha, hasStressPattern, sa-MAN-tha]
Generated description
sa-MAN-tha is the standard English pronunciation of the given name "Samantha," with primary stress on the second syllable.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: sa-MAN-tha
Target entity description: sa-MAN-tha is the standard English pronunciation of the given name "Samantha," with primary stress on the second syllable.
  • A. Sanamahi
    Sanamahi is a principal household and creator deity in the traditional Meitei religion of Manipur, revered as a protector of families and the universe.
  • B. Mansaka
    Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
  • C. Mannanan
    Mannanan is a high-speed catamaran ferry operated by the Isle of Man Steam Packet Company on routes linking the Isle of Man with ports in the British Isles.
  • D. Bamanankan
    Bamanankan is a Mande language widely spoken in Mali and neighboring West African countries, particularly by the Bambara people.
  • E. MaNa
    MaNa is a professional StarCraft II player known for competing at the highest levels of international esports tournaments.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e5edf08190a6743955bc872417 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a879b9130819089f8e2b7106f875b completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a891eb0708190a4575a01f45b98aa completed May 18, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0a89977c8c8190a5c87d1c2b68ed48 completed May 18, 2026, 3:37 a.m.
Created at: April 16, 2026, 8:29 p.m.