Triple

T2655197
Position Surface form Disambiguated ID Type / Status
Subject Erin Andrews E54591 entity
Predicate givenName P17 FINISHED
Object Erin
Erin is a feminine given name commonly used in English-speaking countries, often associated with the poetic name for Ireland.
 E286018 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: Erin | Statement: [Erin Andrews, givenName, Erin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erin
Context triple: [Erin Andrews, givenName, Erin]
  • A. Erin
    Erin Jobs is the daughter of Apple co-founder Steve Jobs and his wife Laurene Powell Jobs.
  • B. Clare
    Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
  • C. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • D. Myra
    Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
  • E. Erika
    Erika is a feminine given name of German origin, borne by numerous notable figures including writer and actress Erika Mann.
  • 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: Erin
Triple: [Erin Andrews, givenName, Erin]
Generated description
Erin is a feminine given name commonly used in English-speaking countries, often associated with the poetic name for Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erin
Target entity description: Erin is a feminine given name commonly used in English-speaking countries, often associated with the poetic name for Ireland.
  • A. Erin
    Erin Jobs is the daughter of Apple co-founder Steve Jobs and his wife Laurene Powell Jobs.
  • B. Clare
    Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
  • C. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • D. Myra
    Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
  • E. Erika
    Erika is a feminine given name of German origin, borne by numerous notable figures including writer and actress Erika Mann.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd933ec008190aef1442460c4cfbc completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d325ec819097d7f80a28343687 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9942390081909fd17fa20386fed6 completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af99af3c8c8190b1342dd4bd5866e2 completed March 10, 2026, 4:10 a.m.
Created at: March 6, 2026, 9:53 p.m.