Triple

T20585158
Position Surface form Disambiguated ID Type / Status
Subject Esteban E505765 entity
Predicate hasDiminutive P456 FINISHED
Object Teban
Teban is a Spanish diminutive or nickname commonly derived from the given name Esteban.
E1438936 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: Teban | Statement: [Esteban, hasDiminutive, Teban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teban
Context triple: [Esteban, hasDiminutive, Teban]
  • A. Tabán
    Tabán is a historic neighborhood in Budapest, Hungary, known for its former hillside streets, thermal baths, and multicultural past.
  • B. Tomarza
    Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
  • C. Tutrakan
    Tutrakan is a town on the Danube River in northeastern Bulgaria, historically significant as the site of major World War I fighting.
  • D. Talbo
    Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
  • E. Balchoth
    The Balchoth are a warlike Easterling people in J.R.R. Tolkien’s Middle-earth legendarium, known for serving Sauron and invading Gondor from the eastern lands.
  • 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: Teban
Triple: [Esteban, hasDiminutive, Teban]
Generated description
Teban is a Spanish diminutive or nickname commonly derived from the given name Esteban.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teban
Target entity description: Teban is a Spanish diminutive or nickname commonly derived from the given name Esteban.
  • A. Tabán
    Tabán is a historic neighborhood in Budapest, Hungary, known for its former hillside streets, thermal baths, and multicultural past.
  • B. Tomarza
    Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
  • C. Tutrakan
    Tutrakan is a town on the Danube River in northeastern Bulgaria, historically significant as the site of major World War I fighting.
  • D. Talbo
    Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
  • E. Balchoth
    The Balchoth are a warlike Easterling people in J.R.R. Tolkien’s Middle-earth legendarium, known for serving Sauron and invading Gondor from the eastern lands.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a975f098819083700593a9fa6cd0 completed April 20, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08aceef59881908b63e33baa53b35f completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08ae401ed481908b6222d572d57b35 completed May 16, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_6a08aec256988190bc43a1f784a458ec completed May 16, 2026, 5:52 p.m.
Created at: April 16, 2026, 11:40 a.m.