Triple

T16585844
Position Surface form Disambiguated ID Type / Status
Subject Asta Nielsen E402954 entity
Predicate givenName P17 FINISHED
Object Asta
Asta is a feminine given name most notably borne by pioneering Danish silent film actress Asta Nielsen.
 E1221673 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: Asta | Statement: [Asta Nielsen, givenName, Asta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asta
Context triple: [Asta Nielsen, givenName, Asta]
  • A. Asta
    Asta is the small wire fox terrier dog featured as the beloved pet and occasional comic relief in the classic detective film series "The Thin Man."
  • B. Zaya
    Zaya is a central human character in the fantasy film "Gods of Egypt," known for her devotion to Bek and her pivotal role in motivating the gods' struggle against Set.
  • C. Aladar
    Aladar is the heroic iguanodon protagonist of Disney's 2000 animated film "Dinosaur," known for leading a herd to safety after a catastrophic meteor strike.
  • D. Arleng
    Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • E. Faika
    Faika is a feminine given name used in various Arabic-speaking and Muslim-majority cultures.
  • 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: Asta
Triple: [Asta Nielsen, givenName, Asta]
Generated description
Asta is a feminine given name most notably borne by pioneering Danish silent film actress Asta Nielsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asta
Target entity description: Asta is a feminine given name most notably borne by pioneering Danish silent film actress Asta Nielsen.
  • A. Asta
    Asta is the small wire fox terrier dog featured as the beloved pet and occasional comic relief in the classic detective film series "The Thin Man."
  • B. Zaya
    Zaya is a central human character in the fantasy film "Gods of Egypt," known for her devotion to Bek and her pivotal role in motivating the gods' struggle against Set.
  • C. Aladar
    Aladar is the heroic iguanodon protagonist of Disney's 2000 animated film "Dinosaur," known for leading a herd to safety after a catastrophic meteor strike.
  • D. Arleng
    Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • E. Faika
    Faika is a feminine given name used in various Arabic-speaking and Muslim-majority cultures.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599cbc448190bc80eef4ad58eb41 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef4f17c819095b3c6f8644b687b completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fd574a4819099d12f36addaca24 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0070bb150881908f9d62b3ba2f4b1d completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:16 a.m.