Triple

T4110029
Position Surface form Disambiguated ID Type / Status
Subject Marpessa E88549 entity
Predicate spouse P13 FINISHED
Object Idas
Idas is a figure in Greek mythology known as a heroic but contentious suitor who abducted Marpessa and later became her husband.
 E413995 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: Idas | Statement: [Marpessa, spouse, Idas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Idas
Context triple: [Marpessa, spouse, Idas]
  • A. Igede
    Igede is an ethnic group in central Nigeria known for its distinct language, cultural festivals, and presence in and around Benue State.
  • B. Idanell
    Idanell is the birth name of Nellie Connally, the former First Lady of Texas and widow of Governor John Connally, who was riding in the car with President John F. Kennedy during his assassination.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • E. Iadera
    Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
  • 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: Idas
Triple: [Marpessa, spouse, Idas]
Generated description
Idas is a figure in Greek mythology known as a heroic but contentious suitor who abducted Marpessa and later became her husband.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Idas
Target entity description: Idas is a figure in Greek mythology known as a heroic but contentious suitor who abducted Marpessa and later became her husband.
  • A. Igede
    Igede is an ethnic group in central Nigeria known for its distinct language, cultural festivals, and presence in and around Benue State.
  • B. Idanell
    Idanell is the birth name of Nellie Connally, the former First Lady of Texas and widow of Governor John Connally, who was riding in the car with President John F. Kennedy during his assassination.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • E. Iadera
    Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b88228c8190ae971b54148e38a9 completed March 14, 2026, 2:07 p.m.
NEDg Description generation batch_69b56cbf12348190836f79e509468a3d completed March 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69b570aef9008190bf8ef2deb00178ae completed March 14, 2026, 2:29 p.m.
Created at: March 9, 2026, 3:41 p.m.