Triple

T202912
Position Surface form Disambiguated ID Type / Status
Subject Irin Carmon E4544 entity
Predicate employer P7 FINISHED
Object Jezebel
Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
 E32489 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: Jezebel | Statement: [Irin Carmon, employer, Jezebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jezebel
Context triple: [Irin Carmon, employer, Jezebel]
  • A. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • B. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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: Jezebel
Triple: [Irin Carmon, employer, Jezebel]
Generated description
Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jezebel
Target entity description: Jezebel is a feminist-leaning online magazine and blog known for its sharp commentary on gender, culture, and media.
  • A. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • B. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be7337481909f4937fc1a06fb53 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3736ce0148190971ea784bfd171a5 completed Feb. 28, 2026, 10:59 p.m.
NEDg Description generation batch_69a3745c4cb481908fb0ba52119fabbb completed Feb. 28, 2026, 11:03 p.m.
NED2 Entity disambiguation (via description) batch_69a374e12e9c819090217b5197c90ccf completed Feb. 28, 2026, 11:06 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.