Triple

T23128282
Position Surface form Disambiguated ID Type / Status
Subject Meret Becker E577096 entity
Predicate givenName P17 FINISHED
Object Meret
Meret is a given name notably borne by German actress and singer Meret Becker.
 E1571141 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: Meret | Statement: [Meret Becker, givenName, Meret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meret
Context triple: [Meret Becker, givenName, Meret]
  • A. Maritta
    Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
  • B. Metehara
    Metehara is a town in central Ethiopia known for its sugar plantations and proximity to both the Awash National Park and Lake Basaka.
  • C. Tamina
    The Tamina is a river in eastern Switzerland known for flowing through the deep Tamina Gorge before joining the Alpine Rhine.
  • D. Tamina
    Tamina is a central, tragic figure in Milan Kundera’s novel "The Book of Laughter and Forgetting," symbolizing memory, loss, and the struggle against erasure.
  • E. Shela
    Shela is a song by the American rock band Aerosmith, featured on their 1985 album "Done with Mirrors."
  • 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: Meret
Triple: [Meret Becker, givenName, Meret]
Generated description
Meret is a given name notably borne by German actress and singer Meret Becker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meret
Target entity description: Meret is a given name notably borne by German actress and singer Meret Becker.
  • A. Maritta
    Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
  • B. Metehara
    Metehara is a town in central Ethiopia known for its sugar plantations and proximity to both the Awash National Park and Lake Basaka.
  • C. Tamina
    The Tamina is a river in eastern Switzerland known for flowing through the deep Tamina Gorge before joining the Alpine Rhine.
  • D. Tamina
    Tamina is a central, tragic figure in Milan Kundera’s novel "The Book of Laughter and Forgetting," symbolizing memory, loss, and the struggle against erasure.
  • E. Shela
    Shela is a song by the American rock band Aerosmith, featured on their 1985 album "Done with Mirrors."
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e857b40819081f9df03fff64d48 completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23f606048190943cc7d879ffcfa2 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271f3c24819093f04fc69ae90160 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27e86440819089fae3350b29d722 completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.