Triple

T17800421
Position Surface form Disambiguated ID Type / Status
Subject María del Carmen E444407 entity
Predicate shortForm P43 FINISHED
Object Mamen
Mamen is a common Spanish diminutive or nickname for the female given name María del Carmen.
 E1287722 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: Mamen | Statement: [María del Carmen, shortForm, Mamen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mamen
Context triple: [María del Carmen, shortForm, Mamen]
  • A. Mamaia
    Mamaia is a major seaside resort on the Black Sea coast of Romania, known for its long sandy beaches, nightlife, and tourist facilities near the city of Constanța.
  • B. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • C. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Mommens
    Mommens is a surname most notably associated with Ursula Mommens, a distinguished British studio potter and ceramic artist.
  • 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: Mamen
Triple: [María del Carmen, shortForm, Mamen]
Generated description
Mamen is a common Spanish diminutive or nickname for the female given name María del Carmen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mamen
Target entity description: Mamen is a common Spanish diminutive or nickname for the female given name María del Carmen.
  • A. Mamaia
    Mamaia is a major seaside resort on the Black Sea coast of Romania, known for its long sandy beaches, nightlife, and tourist facilities near the city of Constanța.
  • B. Mameyal
    Mameyal is a coastal barrio (neighborhood) of the municipality of Dorado in Puerto Rico, known for its seaside setting and local community character.
  • C. Mamayi
    Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Mommens
    Mommens is a surname most notably associated with Ursula Mommens, a distinguished British studio potter and ceramic artist.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487ff42108190b82ceb4466aa2dff completed April 19, 2026, 7:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f84095f48190985b20bc8f049e5b completed May 12, 2026, 9:52 a.m.
NEDg Description generation batch_6a02f9078e088190b2e84f219f7457ed completed May 12, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_6a02f98c91a481909739f2a8a681286d completed May 12, 2026, 9:57 a.m.
Created at: April 10, 2026, 10:13 a.m.