Triple

T6818126
Position Surface form Disambiguated ID Type / Status
Subject Sarah Allerton E156821 entity
Predicate givenName P17 FINISHED
Object Sarah
Sarah is a feminine given name of Hebrew origin, commonly used in many English-speaking and other cultures.
E34678 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: Sarah | Statement: [Sarah Allerton, givenName, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Sarah Allerton, givenName, Sarah]
  • A. Sarah
    Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
  • B. Sarah
    Sarah is a recurring character in the animated television series "Ed, Edd n Eddy," known as Ed's bossy, temperamental younger sister.
  • C. Sarah
    Sarah is a member of the 2nd Massachusetts Militia Regiment, a historical military unit associated with the state of Massachusetts.
  • D. Sarah
    Sarah is a fictional character from the 1992 British comedy-drama film "Peter’s Friends," which follows a group of Cambridge university friends reuniting after a decade.
  • E. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • 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: Sarah
Triple: [Sarah Allerton, givenName, Sarah]
Generated description
Sarah is a feminine given name of Hebrew origin, commonly used in many English-speaking and other cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah is a feminine given name of Hebrew origin, commonly used in many English-speaking and other cultures.
  • A. Sarah chosen
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • B. Sarah
    Sarah is the given name of the legendary American jazz singer Sarah Vaughan, renowned for her rich vocal tone and improvisational skill.
  • C. Sarah
    Sarah is the birth name of Margaret Fuller, the 19th-century American journalist, critic, and women's rights advocate associated with the Transcendentalist movement.
  • D. Sarah
    Sarah is the first name of Sally Jewell, the former U.S. Secretary of the Interior and business executive.
  • E. Sarah
    Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
  • F. None of above.

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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d355b52081909f037cec76bdccf6 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7426356a88190a36b53a46c1776e0 completed March 28, 2026, 2:52 a.m.
NEDg Description generation batch_69c7435af2b481908e06b3ec72dae7da completed March 28, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_69c7443919ec819089040e50462864d1 completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:17 p.m.