Triple

T14903195
Position Surface form Disambiguated ID Type / Status
Subject Ada of Huntingdon E360059 entity
Predicate givenName P17 FINISHED
Object Ada
Ada of Huntingdon was a 12th-century Scottish noblewoman and countess, notable for her marriage into the Scottish royal family and her role in medieval Anglo-Scottish aristocracy.
E1126681 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: Ada | Statement: [Ada of Huntingdon, givenName, Ada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada
Context triple: [Ada of Huntingdon, givenName, Ada]
  • A. Ada
    Ada is the given name of Ada Yonath, the Nobel Prize–winning Israeli crystallographer renowned for her pioneering work on the structure of the ribosome.
  • B. Ada
    Ada is a small city in south-central Oklahoma known as the county seat of Pontotoc County and home to East Central University and the headquarters of the Chickasaw Nation.
  • C. Ada
    Ada is a coastal town and traditional Ga-Adangbe community in the Greater Accra Region of Ghana, known for its estuary, beaches, and cultural heritage.
  • D. Ada
    Ada is a town in northern Serbia's Vojvodina region, known for its Hungarian ethnic majority and location along the Tisa River.
  • E. Ada
    Ada is a competitive boxer known for her performances in the ring.
  • 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: Ada
Triple: [Ada of Huntingdon, givenName, Ada]
Generated description
Ada of Huntingdon was a 12th-century Scottish noblewoman and countess, notable for her marriage into the Scottish royal family and her role in medieval Anglo-Scottish aristocracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ada
Target entity description: Ada of Huntingdon was a 12th-century Scottish noblewoman and countess, notable for her marriage into the Scottish royal family and her role in medieval Anglo-Scottish aristocracy.
  • A. Ada
    Ada is a competitive boxer known for her performances in the ring.
  • B. Ada
    Ada is the given name of Ada Yonath, the Nobel Prize–winning Israeli crystallographer renowned for her pioneering work on the structure of the ribosome.
  • C. Ada
    Ada is a town in northern Serbia's Vojvodina region, known for its Hungarian ethnic majority and location along the Tisa River.
  • D. Ada
    Ada is a small village in northwest Ohio, known as the home of Ohio Northern University.
  • E. Ada
    Ada is a coastal town and traditional Ga-Adangbe community in the Greater Accra Region of Ghana, known for its estuary, beaches, and cultural heritage.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe7360c11481908e2e5127b466e31b completed May 8, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69fe743c37308190a045ef5f0ade8508 completed May 8, 2026, 11:39 p.m.
Created at: April 10, 2026, 2:11 a.m.