Triple

T13104757
Position Surface form Disambiguated ID Type / Status
Subject Mariel Hemingway E310815 entity
Predicate givenName P17 FINISHED
Object Mariel
Mariel is a feminine given name best known for its association with American actress and author Mariel Hemingway.
 E123214 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: Mariel | Statement: [Mariel Hemingway, givenName, Mariel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mariel
Context triple: [Mariel Hemingway, givenName, Mariel]
  • A. Mariel
    Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
  • B. Tusa
    Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
  • C. Tusa
    "Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
  • D. Somosta
    Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
  • E. Toa Baja
    Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
  • 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: Mariel
Triple: [Mariel Hemingway, givenName, Mariel]
Generated description
Mariel is a feminine given name best known for its association with American actress and author Mariel Hemingway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mariel
Target entity description: Mariel is a feminine given name best known for its association with American actress and author Mariel Hemingway.
  • A. Mariel chosen
    Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
  • B. Tusa
    Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
  • C. Tusa
    "Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
  • D. Somosta
    Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
  • E. Toa Baja
    Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
  • F. None of above.

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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e277b89c8190a0d895eb46836525 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e49f9b2c8190adc17603ac326b94 completed May 3, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5979df881909db42a735b9b1064 completed May 3, 2026, 6:05 a.m.
Created at: April 9, 2026, 9:05 p.m.