Triple

T11576783
Position Surface form Disambiguated ID Type / Status
Subject Carlotta Monterey E274524 entity
Predicate familyName P18 FINISHED
Object Taasinge
Taasinge is a Danish surname of likely Scandinavian origin, associated with individuals such as Carlotta Monterey.
 E934482 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: Taasinge | Statement: [Carlotta Monterey, familyName, Taasinge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taasinge
Context triple: [Carlotta Monterey, familyName, Taasinge]
  • A. Tafna
    Tafna is a town in northwestern Algeria known historically as the site where the 1837 Treaty of Tafna was signed between French colonial authorities and Emir Abdelkader.
  • B. Taalunie
    Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
  • C. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • D. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • E. Telnaes
    Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
  • 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: Taasinge
Triple: [Carlotta Monterey, familyName, Taasinge]
Generated description
Taasinge is a Danish surname of likely Scandinavian origin, associated with individuals such as Carlotta Monterey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taasinge
Target entity description: Taasinge is a Danish surname of likely Scandinavian origin, associated with individuals such as Carlotta Monterey.
  • A. Tafna
    Tafna is a town in northwestern Algeria known historically as the site where the 1837 Treaty of Tafna was signed between French colonial authorities and Emir Abdelkader.
  • B. Taalunie
    Taalunie is an international institution that coordinates and promotes the Dutch language and literature across Dutch-speaking regions.
  • C. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • D. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • E. Telnaes
    Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89049721081909278adfada668ef9 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713f7ca4c81908f29143df420fd71 completed April 21, 2026, 6:06 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.