Triple

T1374882
Position Surface form Disambiguated ID Type / Status
Subject Esta Krakower E29197 entity
Predicate givenName P17 FINISHED
Object Esta
Esta is a feminine given name used in various cultures, often as a variant of Esther.
 E158989 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: Esta | Statement: [Esta Krakower, givenName, Esta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esta
Context triple: [Esta Krakower, givenName, Esta]
  • A. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • B. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • C. Essa
    Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • D. Somosta
    Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
  • E. Sen
    Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
  • 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: Esta
Triple: [Esta Krakower, givenName, Esta]
Generated description
Esta is a feminine given name used in various cultures, often as a variant of Esther.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esta
Target entity description: Esta is a feminine given name used in various cultures, often as a variant of Esther.
  • A. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • B. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • C. Essa
    Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • D. Somosta
    Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
  • E. Sen
    Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2f7aeb08190b52ef1058c18327e completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd485e7e48190b4c2dcec53ebe195 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd971f3088190adc54e5eed0e3e0b completed March 8, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69acda1c9fac8190a825533837f612b2 completed March 8, 2026, 2:08 a.m.
Created at: March 1, 2026, 7:59 p.m.