Triple

T8545238
Position Surface form Disambiguated ID Type / Status
Subject Dolly Talbo E202303 entity
Predicate familyName P18 FINISHED
Object Talbo
Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
 E741278 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: Talbo | Statement: [Dolly Talbo, familyName, Talbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talbo
Context triple: [Dolly Talbo, familyName, Talbo]
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • C. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • D. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • E. Tawthalin
    Tawthalin is a traditional month in the Burmese calendar, associated with late monsoon season and various cultural and religious observances in Myanmar.
  • 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: Talbo
Triple: [Dolly Talbo, familyName, Talbo]
Generated description
Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talbo
Target entity description: Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • C. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • D. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • E. Tawthalin
    Tawthalin is a traditional month in the Burmese calendar, associated with late monsoon season and various cultural and religious observances in Myanmar.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e4e21c8190afcbca73713a5fa8 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6db3eef08190934f5b42807ad769 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce6ec3b080819082d64646d453541d completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe928d48190824e7a94fea5cfc0 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:18 p.m.